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CS-702 (A) · Computational Intelligence/Official Syllabus

Computational Intelligence (CS-702 (A)) - Official Syllabus

1
Unit 1

Introduction to Computational Intelligence

  • Introduction to Computational Intelligence
  • types of Computational Intelligence
  • components of Computational Intelligence
  • Concept of Learning/Training model
  • Parametric Models
  • Nonparametric Models
  • Multilayer Networks: Feed Forward network
  • Feedback network
2
Unit 2

Fuzzy Systems

  • Fuzzy sets and operations
  • Membership Functions
  • Concept of Fuzzy relations and their composition
  • Concept of Fuzzy Measures
  • Fuzzy Rules
  • Inferencing
  • Fuzzy Control - Selection of Membership Functions
  • Fuzzyfication
  • Rule Based Design & Inferencing
  • Defuzzyfication
3
Unit 3

Genetic Algorithms

  • Basic Genetics
  • Concepts
  • Working Principle
  • Creation of Offsprings
  • Encoding
  • Fitness Function
  • Selection Functions
  • Genetic Operators-Reproduction
  • Crossover
  • Mutation
  • Genetic Modeling
  • Benefits
4
Unit 4

Rough Set Theory

  • Introduction
  • Fundamental Concepts
  • Set approximation
  • Rough membership
  • Attributes
  • Optimization
  • Hidden Markov Models
  • Decision tree model
5
Unit 5

Introduction to Swarm Intelligence

  • Introduction to Swarm Intelligence
  • Swarm Intelligence Techniques: Ant Colony Optimization
  • Particle Swarm Optimization
  • Bee Colony Optimization etc.
  • Applications of Computational Intelligence

Reference Books

  • Computational Intelligence: Concepts to Implementations — Russell C. Eberhart, Yuhui Shi
  • Computational Intelligence: An Introduction — Andries P. Engelbrecht
  • Neural Networks: A Comprehensive Foundation — Simon Haykin
  • Genetic Algorithm in Search Optimization and Machine Learning — David E. Goldberg
  • Evolutionary and Swarm Intelligence Algorithms — Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal
  • Neural Networks, Fuzzy Logic, Genetic Algorithms Synthesis and Applications — S. Rajasekaran, G.A. Vijaylakshmi Pai
  • Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning & Machine Intelligence — J.S. Roger Jang, C.T. Sun, E. Mizutani
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