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
Recommended Books:
- Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig (Prentice Hall)
- Probabilistic Robotics (Intelligent Robotics & Autonomous Agents Series) - Sebastian Thrun (MIT Press)
|