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Subject Syllabus

AD-702 (C) - Computational Intelligence

AIDS · Semester 7

Course Modules

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

components of Computational Intelligence.Concept of Learning Training model.Parametric Models Nonparametric Models.Multilayer Networks: Feed Forward network Feedback network.

Concept of Fuzzy relations and their composition Concept of Fuzzy Measures Fuzzy Logic: Fuzzy Rules Inferencing Fuzzy Control - Selection of Membership Functions Fuzzyfication Rule Based Design & Inferencing Defuzzyfication.

Offspring Encoding Fitness Function Selection Functions Genetic Operators-Reproduction Crossover Mutation Genetic Modelling Benefits.

membership Attributes Optimization.Hidden Markov Models Decision tree model.

Optimization Particle Swarm Optimization Bee Colony Optimization etc.Applications of Computational Intelligence.Recommended Books: 1.Russell C.Eberhart and Yuhui Shi Computational Intelligence: Concepts to Implementations Morgan Kaufmann Publishers. 2.Andries P.Engelbrecht Computational Intelligence: An Introduction Wiley Publishing. 3.Simon Haykin Neural Networks: A Comprehensive Foundation Prentice Hall. 4.David E.Goldberg Genetic Algorithm in Search Optimization and Machine Learning Pearson Education. 6.Jagdish Chand Bansal Pramod Kumar Singh Nikhil R.Pal Evolutionary and Swarm IntelligenceAlgorithms Springer Publishing, 2019. 7.Rajeskaran G.A.VijaylakshmiPai, "Neural Networks Fuzzy Logic GeneticAlgorithmsSynthesis and Applications". 8.J.S.Roger Jang C.T.Sun Mizutani, "Neuro-Fuzzy and Soft Computing: A ComputationalApproach to Learning & Machine Intelligence", PHI, 2002.