AL-504 (C) Computational Intelligence Notes
5 notes for Computational Intelligence, unit by unit.
Notes for AL-504 (C)
- Unit 1 · Short notes Introduction to Computational Intelligence (CI) Basics of Computational Intelligence (CI) · History of CI · Adaptation and Learning · Self‑Organization · State‑space search and Evolution · CI and Soft Computing
- Unit 2 · Short notes Fuzzy Set Theory Fuzzy Sets and characteristics · Definitions and terminology of fuzzy sets · Fuzzy operators and relations/composition · Membership function formulation · Fuzzy rules and reasoning · Fuzzy inference systems and input‑space partitioning
- Unit 3 · Short notes Rough Set Theory Rough set fundamentals and knowledge representation · Set approximations, accuracy, vagueness, and uncertainty · Rough membership function · Attribute dependency and reduction · Applications of rough sets · Hidden Markov Models (HMM)
- Unit 4 · Short notes Evolutionary Computation Genetic Algorithms: basic genetics, concepts, working principle · Chromosome encoding, fitness functions, selection methods · Genetic operators: reproduction, crossover, mutation · Genetic modeling and problem solving · Genetic programming, evolutionary programming, evolutionary strategies
- Unit 5 · Short notes Swarm Intelligence Swarm Intelligence fundamentals · Ant Colony Optimization (ACO): overview and algorithm · Particle Swarm Optimization (PSO): basics, social network structure, parameters, algorithm · Grey Wolf Optimization (GWO) · Bee Colony Optimization · Hybrid CI techniques and applications
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