SlideShare a Scribd company logo

Acem neuralnetworks

Session on Classification by Neural networks by Aravali College of Engineering and Management, Faridabad

1 of 17
Download to read offline
PROGRAM NAME : B.TECH CSE
COURSE NAME: MACHINE LEARNING
NEURAL NETWORKS
CONTENTS
Introduction.
 Artificial Neural Networks.
 Model of Artificial Neurons.
 Neural Network Architecture.
 Single Layer Feed Forward Networks.
 Learning of ANN.
 Applications of ANN.
INTRODUCTION
 Neural networks are the simplified models of the biological
neuron systems.
 Neural networks are typically organized in layers. Layers
are made up of a number of interconnected 'nodes' .which
contain an 'activation function'.
 Patterns are presented to the network via the 'input layer',
which communicates to one or more 'hidden layers' where
the actual processing is done via a system of weighted
'connections'.
 The hidden layers then link to an 'output layer' where the
answer is output
ARTIFICIAL NEURAL
NETWORKSInputs
Output
An artificial neural network is composed of many artificial neurons that
are linked together according to a specific network architecture. The
objective of the neural network is to transform the inputs into meaningful
outputs.
MODEL OF ARTIFICIAL
NEURON
 An appropriate model/simulation of the nervous system should be able
to produce similar responses and behaviours in artificial systems.
 The nervous system is build by relatively simple units, the neurons, so
copying their behaviour and functionality should be the solution.
MODEL OF ARTIFICIAL
NEURON
Neuron consists of three basic components weights, thresholds and a
single activation function
A set or connection link: each of which is characterized by a weight
or strength of its own wkj. Specifically, a signal xj at the input
synapse „j‟connected to neuron „k‟is multiplied by the synaptic wkj
An adder: For summing the input signals, weighted by respective
synaptic strengths of the neuron in a linear operation.
I w1x1
n
w2 x2 ....... wnxn
w i xi
i 1

Recommended

Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural networksweetysweety8
 
Artifical Neural Network and its applications
Artifical Neural Network and its applicationsArtifical Neural Network and its applications
Artifical Neural Network and its applicationsSangeeta Tiwari
 
what is neural network....???
what is neural network....???what is neural network....???
what is neural network....???Adii Shah
 

More Related Content

What's hot

Neural networks
Neural networksNeural networks
Neural networksSlideshare
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkDessy Amirudin
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkPrakash K
 
Neural networks
Neural networksNeural networks
Neural networksBasil John
 
Artificial nueral network slideshare
Artificial nueral network slideshareArtificial nueral network slideshare
Artificial nueral network slideshareRed Innovators
 
Artificial Neural Network (draft)
Artificial Neural Network (draft)Artificial Neural Network (draft)
Artificial Neural Network (draft)James Boulie
 
Comparative study of ANNs and BNNs and mathematical modeling of a neuron
Comparative study of ANNs and BNNs and mathematical modeling of a neuronComparative study of ANNs and BNNs and mathematical modeling of a neuron
Comparative study of ANNs and BNNs and mathematical modeling of a neuronSaransh Choudhary
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural networkIshaneeSharma
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkKnoldus Inc.
 
Artificial neural network model & hidden layers in multilayer artificial neur...
Artificial neural network model & hidden layers in multilayer artificial neur...Artificial neural network model & hidden layers in multilayer artificial neur...
Artificial neural network model & hidden layers in multilayer artificial neur...Muhammad Ishaq
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkManasa Mona
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkMuhammad Ishaq
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkAtul Krishna
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural networkDEEPASHRI HK
 
Artificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural NetworksArtificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural NetworksThe Integral Worm
 
Nural network ER. Abhishek k. upadhyay
Nural network ER. Abhishek  k. upadhyayNural network ER. Abhishek  k. upadhyay
Nural network ER. Abhishek k. upadhyayabhishek upadhyay
 

What's hot (20)

Ann
Ann Ann
Ann
 
Neural networks
Neural networksNeural networks
Neural networks
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Neural networks
Neural networksNeural networks
Neural networks
 
Artificial nueral network slideshare
Artificial nueral network slideshareArtificial nueral network slideshare
Artificial nueral network slideshare
 
Artificial Neural Network (draft)
Artificial Neural Network (draft)Artificial Neural Network (draft)
Artificial Neural Network (draft)
 
Comparative study of ANNs and BNNs and mathematical modeling of a neuron
Comparative study of ANNs and BNNs and mathematical modeling of a neuronComparative study of ANNs and BNNs and mathematical modeling of a neuron
Comparative study of ANNs and BNNs and mathematical modeling of a neuron
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Artificial neural network model & hidden layers in multilayer artificial neur...
Artificial neural network model & hidden layers in multilayer artificial neur...Artificial neural network model & hidden layers in multilayer artificial neur...
Artificial neural network model & hidden layers in multilayer artificial neur...
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Neural networks introduction
Neural networks introductionNeural networks introduction
Neural networks introduction
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Artificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural NetworksArtificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural Networks
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Nural network ER. Abhishek k. upadhyay
Nural network ER. Abhishek  k. upadhyayNural network ER. Abhishek  k. upadhyay
Nural network ER. Abhishek k. upadhyay
 
Artificial Neuron network
Artificial Neuron network Artificial Neuron network
Artificial Neuron network
 

Similar to Acem neuralnetworks

Neural networks of artificial intelligence
Neural networks of artificial  intelligenceNeural networks of artificial  intelligence
Neural networks of artificial intelligencealldesign
 
Neural-Networks.ppt
Neural-Networks.pptNeural-Networks.ppt
Neural-Networks.pptRINUSATHYAN
 
Artificial neural networks
Artificial neural networks Artificial neural networks
Artificial neural networks ShwethaShreeS
 
Basics of Artificial Neural Network
Basics of Artificial Neural Network Basics of Artificial Neural Network
Basics of Artificial Neural Network Subham Preetam
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural networkmustafa aadel
 
Artificial neural network by arpit_sharma
Artificial neural network by arpit_sharmaArtificial neural network by arpit_sharma
Artificial neural network by arpit_sharmaEr. Arpit Sharma
 
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13Dr. Muhammad Ali Tirmizi., Ph.D.
 
Artificial neural network for machine learning
Artificial neural network for machine learningArtificial neural network for machine learning
Artificial neural network for machine learninggrinu
 
Neural Networks Ver1
Neural  Networks  Ver1Neural  Networks  Ver1
Neural Networks Ver1ncct
 
Artificial neural network paper
Artificial neural network paperArtificial neural network paper
Artificial neural network paperAkashRanjandas1
 
BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...
BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...
BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...DurgadeviParamasivam
 
Neuralnetwork 101222074552-phpapp02
Neuralnetwork 101222074552-phpapp02Neuralnetwork 101222074552-phpapp02
Neuralnetwork 101222074552-phpapp02Deepu Gupta
 
Neural Networks.pptx
Neural Networks.pptxNeural Networks.pptx
Neural Networks.pptxshahinbme
 

Similar to Acem neuralnetworks (20)

Neural Network
Neural NetworkNeural Network
Neural Network
 
Neural networks of artificial intelligence
Neural networks of artificial  intelligenceNeural networks of artificial  intelligence
Neural networks of artificial intelligence
 
Neural-Networks.ppt
Neural-Networks.pptNeural-Networks.ppt
Neural-Networks.ppt
 
Artificial neural networks
Artificial neural networks Artificial neural networks
Artificial neural networks
 
Basics of Artificial Neural Network
Basics of Artificial Neural Network Basics of Artificial Neural Network
Basics of Artificial Neural Network
 
ANN.ppt
ANN.pptANN.ppt
ANN.ppt
 
Neural network
Neural networkNeural network
Neural network
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Artificial neural network by arpit_sharma
Artificial neural network by arpit_sharmaArtificial neural network by arpit_sharma
Artificial neural network by arpit_sharma
 
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13
 
Artificial neural network for machine learning
Artificial neural network for machine learningArtificial neural network for machine learning
Artificial neural network for machine learning
 
Neural Networks Ver1
Neural  Networks  Ver1Neural  Networks  Ver1
Neural Networks Ver1
 
Artificial neural network paper
Artificial neural network paperArtificial neural network paper
Artificial neural network paper
 
BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...
BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...
BACKPROPOGATION ALGO.pdfLECTURE NOTES WITH SOLVED EXAMPLE AND FEED FORWARD NE...
 
Neural Networks
Neural NetworksNeural Networks
Neural Networks
 
Jack
JackJack
Jack
 
Neuralnetwork 101222074552-phpapp02
Neuralnetwork 101222074552-phpapp02Neuralnetwork 101222074552-phpapp02
Neuralnetwork 101222074552-phpapp02
 
ANN.pptx
ANN.pptxANN.pptx
ANN.pptx
 
19_Learning.ppt
19_Learning.ppt19_Learning.ppt
19_Learning.ppt
 
Neural Networks.pptx
Neural Networks.pptxNeural Networks.pptx
Neural Networks.pptx
 

More from Aastha Kohli

Acem computer devices
Acem computer devicesAcem computer devices
Acem computer devicesAastha Kohli
 
Acem computer software
Acem computer softwareAcem computer software
Acem computer softwareAastha Kohli
 
Acem computerhardware
Acem computerhardwareAcem computerhardware
Acem computerhardwareAastha Kohli
 
Acem projectwriting
Acem projectwritingAcem projectwriting
Acem projectwritingAastha Kohli
 
Acem problem identification
Acem problem identificationAcem problem identification
Acem problem identificationAastha Kohli
 
Acem basic network concepts
Acem  basic network conceptsAcem  basic network concepts
Acem basic network conceptsAastha Kohli
 
Acem linearregression
Acem linearregressionAcem linearregression
Acem linearregressionAastha Kohli
 
Acem bayes classifier
Acem bayes classifierAcem bayes classifier
Acem bayes classifierAastha Kohli
 
Acem machine learning
Acem machine learningAcem machine learning
Acem machine learningAastha Kohli
 
Acem machine learning
Acem machine learningAcem machine learning
Acem machine learningAastha Kohli
 
Acem AI presentation
Acem AI presentationAcem AI presentation
Acem AI presentationAastha Kohli
 
Acem web designing
Acem web designingAcem web designing
Acem web designingAastha Kohli
 
Acem cse data analytics (1)
Acem cse data analytics (1)Acem cse data analytics (1)
Acem cse data analytics (1)Aastha Kohli
 

More from Aastha Kohli (17)

Acem computer devices
Acem computer devicesAcem computer devices
Acem computer devices
 
Acem computer software
Acem computer softwareAcem computer software
Acem computer software
 
Acem computerhardware
Acem computerhardwareAcem computerhardware
Acem computerhardware
 
Acem numbersystem
Acem numbersystemAcem numbersystem
Acem numbersystem
 
Acem projectwriting
Acem projectwritingAcem projectwriting
Acem projectwriting
 
Acem problem identification
Acem problem identificationAcem problem identification
Acem problem identification
 
Acem lan
Acem lanAcem lan
Acem lan
 
Acem basic network concepts
Acem  basic network conceptsAcem  basic network concepts
Acem basic network concepts
 
Acem sad
Acem sadAcem sad
Acem sad
 
Acem linearregression
Acem linearregressionAcem linearregression
Acem linearregression
 
Acem www
Acem wwwAcem www
Acem www
 
Acem bayes classifier
Acem bayes classifierAcem bayes classifier
Acem bayes classifier
 
Acem machine learning
Acem machine learningAcem machine learning
Acem machine learning
 
Acem machine learning
Acem machine learningAcem machine learning
Acem machine learning
 
Acem AI presentation
Acem AI presentationAcem AI presentation
Acem AI presentation
 
Acem web designing
Acem web designingAcem web designing
Acem web designing
 
Acem cse data analytics (1)
Acem cse data analytics (1)Acem cse data analytics (1)
Acem cse data analytics (1)
 

Recently uploaded

python presentation lists,strings,operation
python presentation lists,strings,operationpython presentation lists,strings,operation
python presentation lists,strings,operationManjuRaghavan1
 
Laser And its Application's - Engineering Physics
Laser And its Application's - Engineering PhysicsLaser And its Application's - Engineering Physics
Laser And its Application's - Engineering PhysicsPurva Nikam
 
Series of training sessions by our experts for you to provide necessary insig...
Series of training sessions by our experts for you to provide necessary insig...Series of training sessions by our experts for you to provide necessary insig...
Series of training sessions by our experts for you to provide necessary insig...AshishChanchal1
 
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...C Sai Kiran
 
streelmaking technology for the last 100 years.pdf
streelmaking technology for the last 100 years.pdfstreelmaking technology for the last 100 years.pdf
streelmaking technology for the last 100 years.pdfAlbertoConejoPadre1
 
Basic Concepts of Material Science for Electrical and Electronic Materials ...
Basic Concepts of Material Science for  Electrical and Electronic Materials  ...Basic Concepts of Material Science for  Electrical and Electronic Materials  ...
Basic Concepts of Material Science for Electrical and Electronic Materials ...PeopleFinder
 
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdfForged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdfVikasKumar11936
 
CDE_Sustainability Performance_20240214.pdf
CDE_Sustainability Performance_20240214.pdfCDE_Sustainability Performance_20240214.pdf
CDE_Sustainability Performance_20240214.pdf8-koi
 
Pointers and Array, pointer and String.pptx
Pointers and Array, pointer and String.pptxPointers and Array, pointer and String.pptx
Pointers and Array, pointer and String.pptxAnanthi Palanisamy
 
Basic Instrumentation Symbols | P&ID | PFD | Gaurav Singh Rajput
Basic Instrumentation Symbols | P&ID | PFD | Gaurav Singh RajputBasic Instrumentation Symbols | P&ID | PFD | Gaurav Singh Rajput
Basic Instrumentation Symbols | P&ID | PFD | Gaurav Singh RajputGaurav Singh Rajput
 
FSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdf
FSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdfFSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdf
FSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdfArnold Saludares
 
Model Approved Food/ sanitary Grade Flow Meter
Model Approved Food/ sanitary Grade Flow MeterModel Approved Food/ sanitary Grade Flow Meter
Model Approved Food/ sanitary Grade Flow MeterManasMicrosystems
 
Energy Efficient Social Housing for One Manchester
Energy Efficient Social Housing for One ManchesterEnergy Efficient Social Housing for One Manchester
Energy Efficient Social Housing for One Manchestermark alegbe
 
Microstructure of Hadfield Steels (Robert Hadfield)
Microstructure of Hadfield Steels (Robert Hadfield)Microstructure of Hadfield Steels (Robert Hadfield)
Microstructure of Hadfield Steels (Robert Hadfield)MANICKAVASAHAM G
 
INTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHI
INTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHIINTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHI
INTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHIKiranKandhro1
 
Amplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation TechniquesAmplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation TechniquesRich171473
 
Introduction to the telecom tower industry
Introduction to the telecom tower industryIntroduction to the telecom tower industry
Introduction to the telecom tower industryssuserf5bbfd
 

Recently uploaded (20)

python presentation lists,strings,operation
python presentation lists,strings,operationpython presentation lists,strings,operation
python presentation lists,strings,operation
 
Laser And its Application's - Engineering Physics
Laser And its Application's - Engineering PhysicsLaser And its Application's - Engineering Physics
Laser And its Application's - Engineering Physics
 
Présentation IIRB 2024 Corentin Sochard - ÌTB
Présentation IIRB 2024 Corentin Sochard - ÌTBPrésentation IIRB 2024 Corentin Sochard - ÌTB
Présentation IIRB 2024 Corentin Sochard - ÌTB
 
Series of training sessions by our experts for you to provide necessary insig...
Series of training sessions by our experts for you to provide necessary insig...Series of training sessions by our experts for you to provide necessary insig...
Series of training sessions by our experts for you to provide necessary insig...
 
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
 
streelmaking technology for the last 100 years.pdf
streelmaking technology for the last 100 years.pdfstreelmaking technology for the last 100 years.pdf
streelmaking technology for the last 100 years.pdf
 
Basic Concepts of Material Science for Electrical and Electronic Materials ...
Basic Concepts of Material Science for  Electrical and Electronic Materials  ...Basic Concepts of Material Science for  Electrical and Electronic Materials  ...
Basic Concepts of Material Science for Electrical and Electronic Materials ...
 
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdfForged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
 
CDE_Sustainability Performance_20240214.pdf
CDE_Sustainability Performance_20240214.pdfCDE_Sustainability Performance_20240214.pdf
CDE_Sustainability Performance_20240214.pdf
 
Pointers and Array, pointer and String.pptx
Pointers and Array, pointer and String.pptxPointers and Array, pointer and String.pptx
Pointers and Array, pointer and String.pptx
 
Présentation IIRB 2024 Prévibest T. Leborgne
Présentation IIRB 2024 Prévibest T. LeborgnePrésentation IIRB 2024 Prévibest T. Leborgne
Présentation IIRB 2024 Prévibest T. Leborgne
 
Basic Instrumentation Symbols | P&ID | PFD | Gaurav Singh Rajput
Basic Instrumentation Symbols | P&ID | PFD | Gaurav Singh RajputBasic Instrumentation Symbols | P&ID | PFD | Gaurav Singh Rajput
Basic Instrumentation Symbols | P&ID | PFD | Gaurav Singh Rajput
 
FSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdf
FSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdfFSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdf
FSMR - FIRE SAFETY MAINTENANCE REPORT FORM.pdf
 
Model Approved Food/ sanitary Grade Flow Meter
Model Approved Food/ sanitary Grade Flow MeterModel Approved Food/ sanitary Grade Flow Meter
Model Approved Food/ sanitary Grade Flow Meter
 
Energy Efficient Social Housing for One Manchester
Energy Efficient Social Housing for One ManchesterEnergy Efficient Social Housing for One Manchester
Energy Efficient Social Housing for One Manchester
 
Microstructure of Hadfield Steels (Robert Hadfield)
Microstructure of Hadfield Steels (Robert Hadfield)Microstructure of Hadfield Steels (Robert Hadfield)
Microstructure of Hadfield Steels (Robert Hadfield)
 
INTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHI
INTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHIINTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHI
INTERACTIVE AQUATIC MUSEUM AT BAGH IBN QASIM CLIFTON KARACHI
 
Amplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation TechniquesAmplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation Techniques
 
Présentation IIRB 2024 M.Campoverde R.Duval
Présentation IIRB 2024 M.Campoverde R.DuvalPrésentation IIRB 2024 M.Campoverde R.Duval
Présentation IIRB 2024 M.Campoverde R.Duval
 
Introduction to the telecom tower industry
Introduction to the telecom tower industryIntroduction to the telecom tower industry
Introduction to the telecom tower industry
 

Acem neuralnetworks

  • 1. PROGRAM NAME : B.TECH CSE COURSE NAME: MACHINE LEARNING NEURAL NETWORKS
  • 2. CONTENTS Introduction.  Artificial Neural Networks.  Model of Artificial Neurons.  Neural Network Architecture.  Single Layer Feed Forward Networks.  Learning of ANN.  Applications of ANN.
  • 3. INTRODUCTION  Neural networks are the simplified models of the biological neuron systems.  Neural networks are typically organized in layers. Layers are made up of a number of interconnected 'nodes' .which contain an 'activation function'.  Patterns are presented to the network via the 'input layer', which communicates to one or more 'hidden layers' where the actual processing is done via a system of weighted 'connections'.  The hidden layers then link to an 'output layer' where the answer is output
  • 4. ARTIFICIAL NEURAL NETWORKSInputs Output An artificial neural network is composed of many artificial neurons that are linked together according to a specific network architecture. The objective of the neural network is to transform the inputs into meaningful outputs.
  • 5. MODEL OF ARTIFICIAL NEURON  An appropriate model/simulation of the nervous system should be able to produce similar responses and behaviours in artificial systems.  The nervous system is build by relatively simple units, the neurons, so copying their behaviour and functionality should be the solution.
  • 6. MODEL OF ARTIFICIAL NEURON Neuron consists of three basic components weights, thresholds and a single activation function A set or connection link: each of which is characterized by a weight or strength of its own wkj. Specifically, a signal xj at the input synapse „j‟connected to neuron „k‟is multiplied by the synaptic wkj An adder: For summing the input signals, weighted by respective synaptic strengths of the neuron in a linear operation. I w1x1 n w2 x2 ....... wnxn w i xi i 1
  • 7. MODEL OF ARTIFICIAL NEURON Threshold for a Neuron:- The total input for each neuron is the sum of the weighted inputs to the neuron minus its threshold value. This is then passed through the sigmoid function. The equation for the transition in a neuron is : a = 1/(1 + exp(- x)) where x = ai wi - Q a is the activation for the neuron ai is the activation for neuron i wi is the weight Q is the threshold subtracted
  • 8. MODEL OF ARTIFICIAL NEURON Activation function: An activation function f performs a mathematical operation on the signal output. The most common activation functions are: - Linear Function, - Threshold Function, - Sigmoidal (S shaped) function, The activation functions are chosen depending upon the type of problem to be solved by the network.
  • 9. MODEL OF ARTIFICIAL NEURON Activation Functions f – Types:- Sigmoidal Function (S-shape function):- The nonlinear curved S-shape function is called the sigmoid function. This is most common type of activation used to construct the neural networks. It is mathematically well behaved, differentiable and strictly increasing function. This is explained as ≈ 0 for large -ve input values, 1 for large +ve values, with a smooth transition between the two. α is slope parameter also called shape parameter symbol the λ is also used to represented this parameter. 1 Y f (I) ,0 f (I) 1 1 e 1/(1 exp( I)),0 f (I) 1 I
  • 10. NEURAL NETWORK ARCHITECTURE  An artificial Neural Network is defined as a data processing system consisting of a large number of interconnected processing elements or artificial neurons.  There are three fundamentally different classes of neural networks. Those are. 1. Single layer feedforward Networks. 2. Multilayer feedforward Networks. 3. Recurrent Networks. Here we have to discuss the single layer feed forward network.
  • 11. SINGLE-LAYER FEED FORWARD NETWORK - Input layer of source nodes that projects directly onto an output layer of neurons. - “Single-layer” referring to the output layer of computation nodes (neuron). 20 March 2013
  • 12. SINGLE-LAYER FEED FORWARD NETWORK  The above figure is a single layer feed forward neural network. It consists an input layer to receive the inputs and an output layer to output the vectors.  The input layer consists of „n‟neurons, and the output layer contains „m‟ neurons .  The weight of synapse connecting ith input neuron the jth output neuron is Wij. 1 2 3 4 1 2 3 Ii1 Ii2 Ii3 Iin Oi2 Oi3 Oin Oi1 W11 Io1 W21 Io2 Iom W31 Wn1 Yo1 Yo2 Yo m
  • 13. SINGLE-LAYER FEED FORWARD NETWORK Here the inputs of the input layer and the outputs of the output layer is given as So Hence, the input to the output layer can be given as Because The block diagram of a single layer feed forward network. Ioj W1j II1 1 n 1 W2 j II 2 Wnj IIN Iin Ii1 Ii2 .. I m 1 o Oom ...... Oo1 Oo2 .. O I Io m 1 m n n 1 O IW T W T I n 1 m 1 IIOI F(I,W)I O
  • 14. LEARNING IN ANN Learning methods in neural networks can be broadly classified in three basic types. - Supervised Learning - Unsupervised Learning - Reinforcement Learning Supervised Learning:-   In supervised learning, both the inputs and the outputs are provided. The network then processes the inputs and compares its resulting outputs against the desired outputs Errors are then calculated, causing the system to adjust the weights which control the network.  Here a teacher is assume to be present during the learning process.
  • 15. LEARNING IN ANN Unsupervised Learning:-  Here the target output is not presented to the network, Because there is no teacher to present the described patterns.  So the system learns of its own by discovering and adapting to structural features of the input patterns. Reinforcement Learning:-  In this method, a teacher though available, does not present the expected answer but only indicates if the computed output is correct or incorrect.  The information provided helps the network in its learning process.  Here a reward is given for correct answer computed and a penalty for a wrong answer.
  • 16. APPLICATIONS OF NEURAL NETWORKS  Character Recognition:- Neural networks can be used to recognize handwritten characters.  Image Compression:- Neural networks can receive and process vast amounts of information at once, making them useful in image compression.  Stock Market Prediction:- Neural networks can examine a lot of information quickly and sort it all out, they can be used to predict stock prices.  Travelling Salesman Problem:- Neural networks can solve the traveling salesman problem, but only to a certain degree of approximation.  Security and Loan Applications:- With the acceptation of a neural network that will decide whether or not to grant a loan.
  • 17. 10/15/2020 17 Aravali College of Engineering And Management Jasana, Tigoan Road, Neharpar, Faridabad, Delhi NCR Toll Free Number : 91- 8527538785 Website : www.acem.edu.in