AD-702 (C) Computational Intelligence Notes
5 notes for Computational Intelligence, unit by unit.
Notes for AD-702 (C)
- Unit 1 · Short notes Introduction to Computational Intelligence Types of Computational Intelligence · Components of Computational Intelligence · Concept of Learning · Training model · Parametric Models · Non‑parametric Models
- Unit 2 · Short notes Fuzzy Systems Fuzzy set theory – fuzzy sets and operations · Membership functions · Fuzzy relations and their composition · Fuzzy measures · Fuzzy logic – fuzzy rules · Fuzzy inference
- Unit 3 · Short notes Genetic Algorithms Basic genetics concepts · Working principle of genetic algorithms · Creation of offspring · Encoding schemes · Fitness function · Selection functions
- Unit 4 · Short notes Rough Set Theory Introduction to rough set theory · Fundamental concepts of rough sets · Set approximation · Rough membership · Attributes and optimization in rough sets · Hidden Markov models
- Unit 5 · Short notes Introduction to Swarm Intelligence Swarm intelligence techniques – ant colony optimization · Swarm intelligence techniques – particle swarm optimization · Swarm intelligence techniques – bee colony optimization · Other swarm‑based methods · Applications of computational intelligence
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