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Subject Syllabus

CS-702 (A) - Computational Intelligence

CSE · Semester 7

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Introduction to Computational IntelligenceTypes of Computational Intelligence, components of Computational IntelligenceConcept of Learning/Training modelParametric Models, Nonparametric ModelsMultilayer Networks: Feed Forward network, Feedback network
Fuzzy set theory: Fuzzy sets and operations, Membership FunctionsConcept of Fuzzy relations and their compositionConcept of Fuzzy MeasuresFuzzy Logic: Fuzzy Rules, InferencingFuzzy Control - Selection of Membership Functions, Fuzzyfication, Rule Based Design & Inferencing, Defuzzyfication
Basic Genetics, Concepts, Working PrincipleCreation of OffspringsEncoding, Fitness Function, Selection FunctionsGenetic Operators - Reproduction, Crossover, MutationGenetic Modeling, Benefits
Rough Set Theory - Introduction, Fundamental ConceptsSet approximation, Rough membership, Attributes, OptimizationHidden Markov ModelsDecision tree model
Introduction to Swarm IntelligenceSwarm Intelligence Techniques: Ant Colony Optimization, Particle Swarm Optimization, Bee Colony OptimizationApplications of Computational Intelligence