7EE3 ARTIFICIAL INTELLIGENCE TECHNIQUES

Unit-1 Artificial Intelligence: Introduction to AI and knowledge based Expert systems: Introduction, Importance and Definition of AI, ES, ES building tools and shells.
Unit-2 Knowledge Representation: Concept of knowledge, Representation of knowledge using logics rules, frames. Procedural versus. Declarative knowledge, forward versus backward chaining. Control Strategies: -Concept of heuristic search, search techniques depth first search, Breath first search, Generate & test hill climbing, best first search.
Unit-3 Artificial Neural Network: Biological Neurons and synapses, characteristics Artificial Neural Networks, types of activation functions. Perceptions: Perception representation, limitations of perceptrons. Single layer and multiplayer perceptrons. Perceptron learning algorithms.
Unit-4 Basic Concepts in Learning ANN: Supervised learning, Back propagation algorithm, unsupervised learning, Kohonen’s top field network & Algorithm.
Unit-5 Fuzzy Logic: Fuzzy logic concepts, Fuzzy relation and membership functions, Defuzzufication, Fuzzy controllers Genetic algorithm: concepts, coding, reproduction, crossover, mutation,scaling and fitness.

Reference/Suggested Books
1. Elaine Rich and Kevin Knight, Artificial Intelligence 3/e, TMH
2. PADHY: ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS, Oxford
3. James A Anderson, An introduction to Neural Networks.
4. Dan. W Patterson, Artificial Intelligence and Expert Systems.
5. Kumar Satish, “Neural Networks” Tata Mc Graw Hill
6. S. Rajsekaran & G.A. Vijayalakshmi Pai, “Neural Networks,Fuzzy Logic and Genetic Algorithm:Synthesis and Applications” Prentice Hall of India.
7. Siman Haykin,”Neural Netowrks”Prentice Hall of India