Subject Code: ME6L060 Subject Name: Name: Artificial Intelligence & Neuro-Fuzzy Theory L-T-P: 3-1-0 Credit:  4
Pre-Requisite(s): None
Machine Intelligence Technologies: Neural Networks ;  Introduction to Neural Networks; Perception Learning Rule; Hebbian Learning; Widrow-Hoff Learning; Backpropagation; Associative Learning;  Competitive Networks; Grossberg Networks and Adaptive Resonance Theory;  Hopfield Networks

Fuzzy Set Theory: Introduction to Fuzzy Set with Properties; Fuzzy Relations; Fuzzy Arithmetic; Fuzzy Logic; Applications and Fuzzy Control

Genetic Algorithm: Introduction to Genetic Algorithm; GA Operations; Standard Method; Rank Method; Rank Space Method

Simulated Annealing: Introduction to Annealing Process; Simulated Annealing Optimization
Particle Swarm Optimization: Introduction to Swarm Behavior; Particle Swarm Optimization
Artificial Intelligence: Introduction to Artificial Intelligence; Semantic Nets and Description Matching ;Generate and Test, Means-Ends Analysis, and Problem Reduction; Nets, Basic Search, and Optimal Search; Trees and Adversarial Search;     Rules and Rule Chaining; Planning
  Text/Reference Books:
  1. Russell S., and Norvig P., Artificial Intelligence: A Modern Approach, Prentice Hall.
  2. Thrun S., Probabilistic Robotics, Intelligent Robotics & Autonomous Agents Series, MIT Press.