This document summarizes a session on artificial intelligence topics taught by Assistant Professor M. Gokilavani. The session covered adversarial search, constraint satisfaction problems, and propositional logic. Constraint satisfaction problems included cryptarithmetic puzzles where digits are substituted with letters while maintaining arithmetic rules. Two examples of solving cryptarithmetic puzzles were shown step-by-step by assigning digits to letters to satisfy constraints. The next session will cover backtracking for constraint satisfaction problems.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
Guest Lecture about genetic algorithms in the course ECE657: Computational Intelligence/Intelligent Systems Design, Spring 2016, Electrical and Computer Engineering (ECE) Department, University of Waterloo, Canada.
I. Hill climbing algorithm II. Steepest hill climbing algorithmvikas dhakane
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
Minmax Algorithm In Artificial Intelligence slidesSamiaAziz4
Mini-max algorithm is a recursive or backtracking algorithm that is used in decision-making and game theory. Mini-Max algorithm uses recursion to search through the game-tree.
Min-Max algorithm is mostly used for game playing in AI. Such as Chess, Checkers, tic-tac-toe, go, and various tow-players game. This Algorithm computes the minimax decision for the current state.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
Guest Lecture about genetic algorithms in the course ECE657: Computational Intelligence/Intelligent Systems Design, Spring 2016, Electrical and Computer Engineering (ECE) Department, University of Waterloo, Canada.
I. Hill climbing algorithm II. Steepest hill climbing algorithmvikas dhakane
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
Minmax Algorithm In Artificial Intelligence slidesSamiaAziz4
Mini-max algorithm is a recursive or backtracking algorithm that is used in decision-making and game theory. Mini-Max algorithm uses recursion to search through the game-tree.
Min-Max algorithm is mostly used for game playing in AI. Such as Chess, Checkers, tic-tac-toe, go, and various tow-players game. This Algorithm computes the minimax decision for the current state.
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Backtracking based integer factorisation, primality testing and square root c...csandit
Breaking a big integer into two factors is a famous problem in the field of Mathematics and
Cryptography for years. Many crypto-systems use such a big number as their key or part of a
key with the assumption - it is too big that the fastest factorisation algorithms running on the
fastest computers would take impractically long period of time to factorise. Hence, many efforts
have been provided to break those crypto-systems by finding two factors of an integer for
decades. In this paper, a new factorisation technique is proposed which is based on the concept
of backtracking. Binary bit by bit operations are performed to find two factors of a given
integer. This proposed solution can be applied in computing square root, primality test, finding
prime factors of integer numbers etc. If the proposed solution is proven to be efficient enough, it
may break the security of many crypto-systems. Implementation and performance comparison of
the technique is kept for future research.
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordAsst.prof M.Gokilavani
LIST OF EXPERIMENTS:
1. Implement simple vector addition in Tensor Flow.
2. Implement a regression model in Keras.
3. Implement a perception in TensorFlow/Keras Environment.
4. Implement a Feed Forward Network in TensorFlow/Keras.
5. Implement an image classifier using CNN in TensorFlow/Keras.
6. Improve the deep Learning model by fine tuning hyper parameters.
7. Implement a Transfer Learning concept in image classification.
8. Using a pre trained model on Keras for transfer learning.
9. Perform Sentimental Analysis using RNN.
10. Implement an LSTM based Auto encoding inTensorflow/Keras.
11. Image generation using GAN.
ADDITIONAL EXPERIMENTS
12. Train a deep Learning model to classify a given image using pre trained model.
13. Recommendation system from sales data using Deep Learning.
14. Implement Object detection using CNN.
15. Implement any simple Reinforcement Algorithm for an NLP problem.
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
UNIT I INTRODUCTION
Neural Networks-Application Scope of Neural Networks-Artificial Neural Network: An IntroductionEvolution of Neural Networks-Basic Models of Artificial Neural Network- Important Terminologies of
ANNs-Supervised Learning Network.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Final project report on grocery store management system..pdfKamal Acharya
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In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
block diagram and signal flow graph representation
AI_Session 18 Cryptoarithmetic problem.pptx
1. ARTIFICAL INTELLIGENCE
(R18 III(II Sem))
Department of computer science and
engineering (AI/ML)
Session 18
by
Asst.Prof.M.Gokilavani
VITS
4/25/2023 Dpaertment of CSE ( AL & ML) 1
2. TEXTBOOK:
• Artificial Intelligence A modern Approach, Third
Edition, Stuart Russell and Peter Norvig, Pearson
Education.
REFERENCES:
• Artificial Intelligence, 3rd Edn, E. Rich and
K.Knight (TMH).
• Artificial Intelligence, 3rd Edn, Patrick Henny
Winston, Pearson Education.
• Artificial Intelligence, Shivani Goel, Pearson
Education.
• Artificial Intelligence and Expert Systems-
Patterson, Pearson Education.
4/25/2023 Dpaertment of CSE ( AL & ML) 2
3. Topics covered in session 18
• Adversarial Search: Games, Optimal Decisions in Games, Alpha–
Beta Pruning, Imperfect Real-Time Decisions.
• Constraint Satisfaction Problems: Defining Constraint
Satisfaction Problems, Constraint Propagation, Backtracking
Search for CSPs, Local Search for CSPs, The Structure of
Problems.
• Propositional Logic: Knowledge-Based Agents, The Wumpus
World, Logic, Propositional Logic, Propositional Theorem
Proving: Inference and proofs, Proof by resolution, Horn clauses
and definite clauses, Forward and backward chaining, Effective
Propositional Model Checking, Agents Based on Propositional
Logic.
4/25/2023 Dpaertment of CSE ( AL & ML) 3
4. Cryptarithmetic Problem
• Cryptarithmetic Problem is a type of constraint
satisfaction problem where the game is about digits and
its unique replacement either with alphabets or other
symbols.
• In cryptarithmetic problem, the digits (0-9) get
substituted by some possible alphabets or symbols.
• The task in cryptarithmetic problem is to substitute
each digit with an alphabet to get the result
arithmetically correct.
• We can perform all the arithmetic operations on a given
cryptarithmetic problem.
4/25/2023 4
Dpaertment of CSE ( AL & ML)
5. Constraints for cryptarithmetic
problem
• Unique digit to be replaced with a unique alphabet
(no repeated digits).
• The result should satisfy the predefined arithmetic
rules, i.e., 2+2 =4
• Digits should be from 0-9 only.
• In addition operation only one carry forward.
• The problem can be solved from both sides,
i.e., lefthand side (L.H.S), or right-hand side
(R.H.S)
4/25/2023 5
Dpaertment of CSE ( AL & ML)
6. Example 1
• Given a cryptarithmetic problem, i.e., S E N D
+ M O R E = M O N E Y.
4/25/2023 6
Dpaertment of CSE ( AL & ML)
8. Step 1
4/25/2023 8
Dpaertment of CSE ( AL & ML)
• Starting from the left hand side (L.H.S) , the terms
are S and M. Assign a digit which could give a
satisfactory result. Let’s assign S->9 and M->1.
Hence, we get a satisfactory result by adding up the
terms and got an assignment for O as O->0 as well.
9. Step 2
• Now, move ahead to the next terms E and O to
get N as its output.
4/25/2023 9
Dpaertment of CSE ( AL & ML)
Adding E and O, which means 5+0=0, which is not
possible because we cannot assign the same digit to
two letters.
10. • Add carry 1 to the value E to change the
value of alphabet.
4/25/2023 10
Dpaertment of CSE ( AL & ML)
11. Step 3
4/25/2023 11
Dpaertment of CSE ( AL & ML)
• Further, adding the next two terms N and R we get,
But, we have already assigned E->5. Not possible with 5 to E
Again, after solving the whole problem, we will get a
carryover on this term, so our answer will be satisfied.
12. Step 4
• Again, on adding the last two terms, i.e., the
rightmost terms D and E, we get Y as its result.
4/25/2023 12
Dpaertment of CSE ( AL & ML)
13. • Keeping all the constraints in mind, the final resultant
is as follows:
4/25/2023 13
Dpaertment of CSE ( AL & ML)
Alphabets Values
S 9
E 5
N 6
D 7
M 1
O 0
R 8
Y 2