SlideShare a Scribd company logo

Neural Networks and Applications

•
•
Alex (Oleksiy) Varfolomiyev
Alex (Oleksiy) Varfolomiyev
ScienceTechnology
1 of 20
Neural Networks & Applications Oleksiy Varfolomiyev NJIT, 2011
Why Neural Networks? State-of-the-art solutions for the diversity of applications
What do Neural Networks do? • Clustering, classification, categorization • Function approximation • Prediction • Optimization • Associative memory • Control
What Applications? Manufacturing process control Credit application Manipulator controllers evaluation Image/data compression Autopilot Breast cancer cell analysis Vehicle scheduling Special Effects
What Industries? Manufacturing Robotics Banking Telecommunications Aerospace Medical Transportation Entertainment
Simple Neuron Simple Neuron Model !"# $%&'()#&*(+ ,%-+'-&. ,+/01 $/2 &#%2(+ &#*3/214 -4 *"# 4-&. &#%2/&7 4%0" (4 *"-4 #8()6+#9 !"#2# (2# *"2## '-4*-&0* $%&0*-/&(+ /6#2(*-/&4 *"(* *(1# 6+(0# -& • &#%2/&9 input*"# 40(+(2 -&6%* ! -4 )%+*-6+-#' ,; *"# 40(+(2 3#-. p - :-24*7 • w - weight *"# 62/'%0* "!7 (.(-& ( 40(+(29 <#0/&'7 *"# 3#-."*#' -&6%* "! - *"# 40(+(2 ,-(4 # */ $/2) *"# &#* -&6%* $9 =>& *"-4 0(4#7 ;/% 0(& ? • b - bias (4 4"-$*-&. *"# $%&0*-/& % */ *"# +#$* ,; (& ()/%&* #9 !"# ,-(4 -4 • n - net input ( 3#-."*7 #80#6* *"(* -* "(4 ( 0/&4*(&* -&6%* /$ @9A :-&(++;7 *"# & 6(44#' *"2/%." *"# *2(&4$#2 $%&0*-/& %7 3"-0" 62/'%0#4 *"# 40(+( • !"# f - transfer */ *"#4# *"2## 62/0#44#4 (2#B *"# 3#-."* $%&0*- &()#4 .-?#& function • a - output -&6%* $%&0*-/& (&' *"# *2(&4$#2 $%&0*-/&9 :/2 )(&; *;6#4 /$ &#%2(+ &#*3/2147 *"# 3#-."* $%&0*-/& -4 ( 62/
Neuron with Vector Input
One Layer of Neurons
Multiple Layers of Neurons
Neural networks Static Dynamic The output is calculated The output depends also on directly form the input the previous inputs, outputs, through feedforward or states of the network connections
Neural networks Static Dynamic The output is calculated The output depends also on directly form the input the previous inputs, outputs, through feedforward or states of the network connections
Applications of Dynamic Networks • Financial Markets • Control Systems • Fault Detection • Speech recognition • Filtering
The work flow for the NN design process 1. Collect Data 2. Create the network 3. Configure the network 4. Initialize the weights and biases 5. Train the network 6. Validate the network 7. Use the network
Train the Network Tuning weights and biases of the NN to optimize NN performance function,e.g. Mean Square Error N N 1 2 1 2 F = (ei ) = (ti − ai ) N i=1 N i=1
Optimization methods • Use GRADIENT of the network performance w.r.t. the network weights • Use JACOBIAN of the network errors w.r.t. the network weights
What tools? MATLAB Neural Network Toolbox Simulink
Control Systems Example Neural Predictive Control for the Aiming and Stabilizing System
NN Training Error using Levenberg Marquardt algorithm
Control System Works Out the Harmonic Input
g{tÇ~ lÉâ 4

Recommended

Automatic test packet generation in network
Automatic test packet generation in networkAutomatic test packet generation in network
Automatic test packet generation in networkeSAT Journals
 
Applications of ATPG
Applications of ATPGApplications of ATPG
Applications of ATPGUshaswini Chowdary
 
automatic test packet generation
automatic test packet generationautomatic test packet generation
automatic test packet generationswathi78
 
IEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generation
IEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generationIEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generation
IEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generationIEEEGLOBALSOFTSTUDENTPROJECTS
 
Automatic test packet generation
Automatic test packet generationAutomatic test packet generation
Automatic test packet generationtusharjadhav2611
 
JPJ1432 Automatic Test Packet Generation
JPJ1432 Automatic Test Packet GenerationJPJ1432 Automatic Test Packet Generation
JPJ1432 Automatic Test Packet Generationchennaijp
 
Data Security Guidelines
Data Security GuidelinesData Security Guidelines
Data Security GuidelinesGary Waldrom
 
Chess end games using Neural Networks
Chess end games using Neural NetworksChess end games using Neural Networks
Chess end games using Neural Networkspiuprabhu
 

Recommended

Automatic test packet generation in network
Automatic test packet generation in networkAutomatic test packet generation in network
Automatic test packet generation in networkeSAT Journals
 
Applications of ATPG
Applications of ATPGApplications of ATPG
Applications of ATPGUshaswini Chowdary
 
automatic test packet generation
automatic test packet generationautomatic test packet generation
automatic test packet generationswathi78
 
IEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generation
IEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generationIEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generation
IEEE 2014 JAVA NETWORKING PROJECTS Automatic test packet generationIEEEGLOBALSOFTSTUDENTPROJECTS
 
Automatic test packet generation
Automatic test packet generationAutomatic test packet generation
Automatic test packet generationtusharjadhav2611
 
JPJ1432 Automatic Test Packet Generation
JPJ1432 Automatic Test Packet GenerationJPJ1432 Automatic Test Packet Generation
JPJ1432 Automatic Test Packet Generationchennaijp
 
Data Security Guidelines
Data Security GuidelinesData Security Guidelines
Data Security GuidelinesGary Waldrom
 
Chess end games using Neural Networks
Chess end games using Neural NetworksChess end games using Neural Networks
Chess end games using Neural Networkspiuprabhu
 
Neural object classification by pattern recognition of one dimensional data ...
Neural object classification by pattern recognition of one dimensional data ...Neural object classification by pattern recognition of one dimensional data ...
Neural object classification by pattern recognition of one dimensional data ...naschibo
 
An Overview of Vehicle Control Systems
An Overview of Vehicle Control SystemsAn Overview of Vehicle Control Systems
An Overview of Vehicle Control SystemsBehzad Samadi
 
Face recognition using artificial neural network
Face recognition using artificial neural networkFace recognition using artificial neural network
Face recognition using artificial neural networkSumeet Kakani
 
Artificial intelligence NEURAL NETWORKS
Artificial intelligence NEURAL NETWORKSArtificial intelligence NEURAL NETWORKS
Artificial intelligence NEURAL NETWORKSREHMAT ULLAH
 
Neural network & its applications
Neural network & its applications Neural network & its applications
Neural network & its applications Ahmed_hashmi
 
Gesture recognition using artificial neural network,a technology for identify...
Gesture recognition using artificial neural network,a technology for identify...Gesture recognition using artificial neural network,a technology for identify...
Gesture recognition using artificial neural network,a technology for identify...NidhinRaj Saikripa
 
State of the Word 2011
State of the Word 2011State of the Word 2011
State of the Word 2011photomatt
 
A neural network is an interconnected assembly of simple processing elements (1)
A neural network is an interconnected assembly of simple processing elements (1)A neural network is an interconnected assembly of simple processing elements (1)
A neural network is an interconnected assembly of simple processing elements (1)Kshitij Singh
 
Application of the Actor Model to Large Scale NDE Data Analysis
Application of the Actor Model to Large Scale NDE Data AnalysisApplication of the Actor Model to Large Scale NDE Data Analysis
Application of the Actor Model to Large Scale NDE Data AnalysisChrisCoughlin9
 
Deep Learning
Deep LearningDeep Learning
Deep LearningMoctardOLOULADE
 
Dissertation Prsentation - Vaibhav
Dissertation Prsentation - VaibhavDissertation Prsentation - Vaibhav
Dissertation Prsentation - VaibhavVaibhav Dhattarwal
 
Artificial Neural Network ANN
Artificial Neural Network ANNArtificial Neural Network ANN
Artificial Neural Network ANNAbdullah al Mamun
 
Combining out - of - band monitoring with AI and big data for datacenter aut...
Combining out - of - band monitoring with AI and big data for datacenter aut...Combining out - of - band monitoring with AI and big data for datacenter aut...
Combining out - of - band monitoring with AI and big data for datacenter aut...Ganesan Narayanasamy
 
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
“Practical DNN Quantization Techniques and Tools,” a Presentation from FacebookEdge AI and Vision Alliance
 
Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.sandipan paul
 
Network Analysis Using Wireshark 1
Network Analysis Using Wireshark 1Network Analysis Using Wireshark 1
Network Analysis Using Wireshark 1Yoram Orzach
 
Implementation of Back-Propagation Neural Network using Scilab and its Conver...
Implementation of Back-Propagation Neural Network using Scilab and its Conver...Implementation of Back-Propagation Neural Network using Scilab and its Conver...
Implementation of Back-Propagation Neural Network using Scilab and its Conver...IJEEE
 
Neural network-toolbox
Neural network-toolboxNeural network-toolbox
Neural network-toolboxangeltejera
 
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...Yoram Orzach
 
Face recognition using neural network
Face recognition using neural networkFace recognition using neural network
Face recognition using neural networkIndira Nayak
 
SRA final project
SRA final projectSRA final project
SRA final projectssuser542c21
 
Nimrita deep learning
Nimrita deep learningNimrita deep learning
Nimrita deep learningNimrita Koul
 

More Related Content

Viewers also liked

Neural object classification by pattern recognition of one dimensional data ...
Neural object classification by pattern recognition of one dimensional data ...Neural object classification by pattern recognition of one dimensional data ...
Neural object classification by pattern recognition of one dimensional data ...naschibo
 
An Overview of Vehicle Control Systems
An Overview of Vehicle Control SystemsAn Overview of Vehicle Control Systems
An Overview of Vehicle Control SystemsBehzad Samadi
 
Face recognition using artificial neural network
Face recognition using artificial neural networkFace recognition using artificial neural network
Face recognition using artificial neural networkSumeet Kakani
 
Artificial intelligence NEURAL NETWORKS
Artificial intelligence NEURAL NETWORKSArtificial intelligence NEURAL NETWORKS
Artificial intelligence NEURAL NETWORKSREHMAT ULLAH
 
Neural network & its applications
Neural network & its applications Neural network & its applications
Neural network & its applications Ahmed_hashmi
 
Gesture recognition using artificial neural network,a technology for identify...
Gesture recognition using artificial neural network,a technology for identify...Gesture recognition using artificial neural network,a technology for identify...
Gesture recognition using artificial neural network,a technology for identify...NidhinRaj Saikripa
 
State of the Word 2011
State of the Word 2011State of the Word 2011
State of the Word 2011photomatt
 

Viewers also liked (7)

Neural object classification by pattern recognition of one dimensional data ...
Neural object classification by pattern recognition of one dimensional data ...Neural object classification by pattern recognition of one dimensional data ...
Neural object classification by pattern recognition of one dimensional data ...
 
An Overview of Vehicle Control Systems
An Overview of Vehicle Control SystemsAn Overview of Vehicle Control Systems
An Overview of Vehicle Control Systems
 
Face recognition using artificial neural network
Face recognition using artificial neural networkFace recognition using artificial neural network
Face recognition using artificial neural network
 
Artificial intelligence NEURAL NETWORKS
Artificial intelligence NEURAL NETWORKSArtificial intelligence NEURAL NETWORKS
Artificial intelligence NEURAL NETWORKS
 
Neural network & its applications
Neural network & its applications Neural network & its applications
Neural network & its applications
 
Gesture recognition using artificial neural network,a technology for identify...
Gesture recognition using artificial neural network,a technology for identify...Gesture recognition using artificial neural network,a technology for identify...
Gesture recognition using artificial neural network,a technology for identify...
 
State of the Word 2011
State of the Word 2011State of the Word 2011
State of the Word 2011
 

Similar to Neural Networks and Applications

A neural network is an interconnected assembly of simple processing elements (1)
A neural network is an interconnected assembly of simple processing elements (1)A neural network is an interconnected assembly of simple processing elements (1)
A neural network is an interconnected assembly of simple processing elements (1)Kshitij Singh
 
Application of the Actor Model to Large Scale NDE Data Analysis
Application of the Actor Model to Large Scale NDE Data AnalysisApplication of the Actor Model to Large Scale NDE Data Analysis
Application of the Actor Model to Large Scale NDE Data AnalysisChrisCoughlin9
 
Dissertation Prsentation - Vaibhav
Dissertation Prsentation - VaibhavDissertation Prsentation - Vaibhav
Dissertation Prsentation - VaibhavVaibhav Dhattarwal
 
Artificial Neural Network ANN
Artificial Neural Network ANNArtificial Neural Network ANN
Artificial Neural Network ANNAbdullah al Mamun
 
Combining out - of - band monitoring with AI and big data for datacenter aut...
Combining out - of - band monitoring with AI and big data for datacenter aut...Combining out - of - band monitoring with AI and big data for datacenter aut...
Combining out - of - band monitoring with AI and big data for datacenter aut...Ganesan Narayanasamy
 
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
“Practical DNN Quantization Techniques and Tools,” a Presentation from FacebookEdge AI and Vision Alliance
 
Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.sandipan paul
 
Network Analysis Using Wireshark 1
Network Analysis Using Wireshark 1Network Analysis Using Wireshark 1
Network Analysis Using Wireshark 1Yoram Orzach
 
Implementation of Back-Propagation Neural Network using Scilab and its Conver...
Implementation of Back-Propagation Neural Network using Scilab and its Conver...Implementation of Back-Propagation Neural Network using Scilab and its Conver...
Implementation of Back-Propagation Neural Network using Scilab and its Conver...IJEEE
 
Neural network-toolbox
Neural network-toolboxNeural network-toolbox
Neural network-toolboxangeltejera
 
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...Yoram Orzach
 
Face recognition using neural network
Face recognition using neural networkFace recognition using neural network
Face recognition using neural networkIndira Nayak
 
Nimrita deep learning
Nimrita deep learningNimrita deep learning
Nimrita deep learningNimrita Koul
 
Applicability of Machine learning in computer networks
Applicability of Machine learning in computer networksApplicability of Machine learning in computer networks
Applicability of Machine learning in computer networksChetan Kumar S
 
Machine Learning Essentials Demystified part2 | Big Data Demystified
Machine Learning Essentials Demystified part2 | Big Data DemystifiedMachine Learning Essentials Demystified part2 | Big Data Demystified
Machine Learning Essentials Demystified part2 | Big Data DemystifiedOmid Vahdaty
 
2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx
2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx
2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptxssuser67281d
 
Identify and resolve network problems
Identify and resolve network problemsIdentify and resolve network problems
Identify and resolve network problemsAbenezer Abiti
 
Network Troubleshooting - Part 1
Network Troubleshooting - Part 1Network Troubleshooting - Part 1
Network Troubleshooting - Part 1SolarWinds
 

Similar to Neural Networks and Applications (20)

A neural network is an interconnected assembly of simple processing elements (1)
A neural network is an interconnected assembly of simple processing elements (1)A neural network is an interconnected assembly of simple processing elements (1)
A neural network is an interconnected assembly of simple processing elements (1)
 
Application of the Actor Model to Large Scale NDE Data Analysis
Application of the Actor Model to Large Scale NDE Data AnalysisApplication of the Actor Model to Large Scale NDE Data Analysis
Application of the Actor Model to Large Scale NDE Data Analysis
 
Deep Learning
Deep LearningDeep Learning
Deep Learning
 
Dissertation Prsentation - Vaibhav
Dissertation Prsentation - VaibhavDissertation Prsentation - Vaibhav
Dissertation Prsentation - Vaibhav
 
Artificial Neural Network ANN
Artificial Neural Network ANNArtificial Neural Network ANN
Artificial Neural Network ANN
 
Combining out - of - band monitoring with AI and big data for datacenter aut...
Combining out - of - band monitoring with AI and big data for datacenter aut...Combining out - of - band monitoring with AI and big data for datacenter aut...
Combining out - of - band monitoring with AI and big data for datacenter aut...
 
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook
 
Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.Detecting and Improving Distorted Fingerprints using rectification techniques.
Detecting and Improving Distorted Fingerprints using rectification techniques.
 
Network Analysis Using Wireshark 1
Network Analysis Using Wireshark 1Network Analysis Using Wireshark 1
Network Analysis Using Wireshark 1
 
Implementation of Back-Propagation Neural Network using Scilab and its Conver...
Implementation of Back-Propagation Neural Network using Scilab and its Conver...Implementation of Back-Propagation Neural Network using Scilab and its Conver...
Implementation of Back-Propagation Neural Network using Scilab and its Conver...
 
Neural network-toolbox
Neural network-toolboxNeural network-toolbox
Neural network-toolbox
 
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
Network analysis Using Wireshark Lesson 1- introduction to network troublesho...
 
Face recognition using neural network
Face recognition using neural networkFace recognition using neural network
Face recognition using neural network
 
SRA final project
SRA final projectSRA final project
SRA final project
 
Nimrita deep learning
Nimrita deep learningNimrita deep learning
Nimrita deep learning
 
Applicability of Machine learning in computer networks
Applicability of Machine learning in computer networksApplicability of Machine learning in computer networks
Applicability of Machine learning in computer networks
 
Machine Learning Essentials Demystified part2 | Big Data Demystified
Machine Learning Essentials Demystified part2 | Big Data DemystifiedMachine Learning Essentials Demystified part2 | Big Data Demystified
Machine Learning Essentials Demystified part2 | Big Data Demystified
 
2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx
2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx
2. NEURAL NETWORKS USING GENETIC ALGORITHMS.pptx
 
Identify and resolve network problems
Identify and resolve network problemsIdentify and resolve network problems
Identify and resolve network problems
 
Network Troubleshooting - Part 1
Network Troubleshooting - Part 1Network Troubleshooting - Part 1
Network Troubleshooting - Part 1
 

More from Alex (Oleksiy) Varfolomiyev

An Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface ProblemsAn Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface ProblemsAlex (Oleksiy) Varfolomiyev
 
A non-stiff numerical method for 3D interfacial flow of inviscid fluids.
A non-stiff numerical method for 3D interfacial flow of inviscid fluids.A non-stiff numerical method for 3D interfacial flow of inviscid fluids.
A non-stiff numerical method for 3D interfacial flow of inviscid fluids.Alex (Oleksiy) Varfolomiyev
 
A non-stiff boundary integral method for internal waves
A non-stiff boundary integral method for internal wavesA non-stiff boundary integral method for internal waves
A non-stiff boundary integral method for internal wavesAlex (Oleksiy) Varfolomiyev
 
Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...
Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...
Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...Alex (Oleksiy) Varfolomiyev
 

More from Alex (Oleksiy) Varfolomiyev (7)

An Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface ProblemsAn Efficient Boundary Integral Method for Stiff Fluid Interface Problems
An Efficient Boundary Integral Method for Stiff Fluid Interface Problems
 
A non-stiff numerical method for 3D interfacial flow of inviscid fluids.
A non-stiff numerical method for 3D interfacial flow of inviscid fluids.A non-stiff numerical method for 3D interfacial flow of inviscid fluids.
A non-stiff numerical method for 3D interfacial flow of inviscid fluids.
 
A non-stiff boundary integral method for internal waves
A non-stiff boundary integral method for internal wavesA non-stiff boundary integral method for internal waves
A non-stiff boundary integral method for internal waves
 
Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...
Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...
Optimal Finite Difference Grids for Elliptic and Parabolic PDEs with Applicat...
 
Dynamic Tumor Growth Modelling
Dynamic Tumor Growth ModellingDynamic Tumor Growth Modelling
Dynamic Tumor Growth Modelling
 
Optimal Finite Difference Grids
Optimal Finite Difference GridsOptimal Finite Difference Grids
Optimal Finite Difference Grids
 
Phase Field Method
Phase Field MethodPhase Field Method
Phase Field Method
 

Recently uploaded

Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physicsvishikhakeshava1
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)DHURKADEVIBASKAR
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...anilsa9823
 
Animal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptxAnimal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptxUmerFayaz5
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |aasikanpl
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsssuserddc89b
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​ ​Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Sérgio Sacani
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzohaibmir069
 
Boyles law module in the grade 10 science
Boyles law module in the grade 10 scienceBoyles law module in the grade 10 science
Boyles law module in the grade 10 sciencefloriejanemacaya1
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsAArockiyaNisha
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeGrafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeSatoshi NAKAHIRA
 
Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Jshifa
 

Recently uploaded (20)

Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physics
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
 
Animal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptxAnimal Communication- Auditory and Visual.pptx
Animal Communication- Auditory and Visual.pptx
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physics
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​ ​Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​ ​
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistan
 
Boyles law module in the grade 10 science
Boyles law module in the grade 10 scienceBoyles law module in the grade 10 science
Boyles law module in the grade 10 science
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based Nanomaterials
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeGrafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real time
 
Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)
 

Neural Networks and Applications

  • 1. Neural Networks & Applications Oleksiy Varfolomiyev NJIT, 2011
  • 2. Why Neural Networks? State-of-the-art solutions for the diversity of applications
  • 3. What do Neural Networks do? • Clustering, classification, categorization • Function approximation • Prediction • Optimization • Associative memory • Control
  • 4. What Applications? Manufacturing process control Credit application Manipulator controllers evaluation Image/data compression Autopilot Breast cancer cell analysis Vehicle scheduling Special Effects
  • 5. What Industries? Manufacturing Robotics Banking Telecommunications Aerospace Medical Transportation Entertainment
  • 6. Simple Neuron Simple Neuron Model !"# $%&'()#&*(+ ,%-+'-&. ,+/01 $/2 &#%2(+ &#*3/214 -4 *"# 4-&. &#%2/&7 4%0" (4 *"-4 #8()6+#9 !"#2# (2# *"2## '-4*-&0* $%&0*-/&(+ /6#2(*-/&4 *"(* *(1# 6+(0# -& • &#%2/&9 input*"# 40(+(2 -&6%* ! -4 )%+*-6+-#' ,; *"# 40(+(2 3#-. p - :-24*7 • w - weight *"# 62/'%0* "!7 (.(-& ( 40(+(29 <#0/&'7 *"# 3#-."*#' -&6%* "! - *"# 40(+(2 ,-(4 # */ $/2) *"# &#* -&6%* $9 =>& *"-4 0(4#7 ;/% 0(& ? • b - bias (4 4"-$*-&. *"# $%&0*-/& % */ *"# +#$* ,; (& ()/%&* #9 !"# ,-(4 -4 • n - net input ( 3#-."*7 #80#6* *"(* -* "(4 ( 0/&4*(&* -&6%* /$ @9A :-&(++;7 *"# & 6(44#' *"2/%." *"# *2(&4$#2 $%&0*-/& %7 3"-0" 62/'%0#4 *"# 40(+( • !"# f - transfer */ *"#4# *"2## 62/0#44#4 (2#B *"# 3#-."* $%&0*- &()#4 .-?#& function • a - output -&6%* $%&0*-/& (&' *"# *2(&4$#2 $%&0*-/&9 :/2 )(&; *;6#4 /$ &#%2(+ &#*3/2147 *"# 3#-."* $%&0*-/& -4 ( 62/
  • 8. One Layer of Neurons
  • 10. Neural networks Static Dynamic The output is calculated The output depends also on directly form the input the previous inputs, outputs, through feedforward or states of the network connections
  • 11. Neural networks Static Dynamic The output is calculated The output depends also on directly form the input the previous inputs, outputs, through feedforward or states of the network connections
  • 12. Applications of Dynamic Networks • Financial Markets • Control Systems • Fault Detection • Speech recognition • Filtering
  • 13. The work flow for the NN design process 1. Collect Data 2. Create the network 3. Configure the network 4. Initialize the weights and biases 5. Train the network 6. Validate the network 7. Use the network
  • 14. Train the Network Tuning weights and biases of the NN to optimize NN performance function,e.g. Mean Square Error N N 1 2 1 2 F = (ei ) = (ti − ai ) N i=1 N i=1
  • 15. Optimization methods • Use GRADIENT of the network performance w.r.t. the network weights • Use JACOBIAN of the network errors w.r.t. the network weights
  • 16. What tools? MATLAB Neural Network Toolbox Simulink
  • 17. Control Systems Example Neural Predictive Control for the Aiming and Stabilizing System
  • 18. NN Training Error using Levenberg Marquardt algorithm
  • 19. Control System Works Out the Harmonic Input

Editor's Notes

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. \n
  15. \n
  16. \n
  17. \n
  18. \n
  19. \n