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AL-504 (C) · Computational Intelligence/Official Syllabus

Computational Intelligence (AL-504 (C)) - Official Syllabus

1
Unit 1

Introduction to Computational Intelligence (CI)

  • Basics of CI
  • History of CI
  • Adaptation
  • Learning
  • Self-Organization
  • State Space Search and Evolution
  • CI and Soft Computing
  • CI Techniques
  • Applications of CI
  • Decision Trees: Introduction
  • Evaluation
  • Different splitting criterion
  • Implementation aspect of decision tree
  • Neural Network: Introduction
  • types
  • issues
  • implementation
  • applications
2
Unit 2

Fuzzy Set Theory

  • Fuzzy Sets
  • Fuzzy Set Characteristics
  • Basic Definition and Terminology
  • Fuzzy Operators
  • Fuzzy Relations and Composition
  • Member Function Formulation
  • Fuzzy Rules and Fuzzy Reasoning
  • Extension
  • Fuzzy Inference Systems
  • Input Space Partitioning and Fuzzy Modeling
  • Fuzziness and Defuzzification
  • Fuzzy Controllers
  • Different Fuzzy Models: Mamdani Fuzzy Models
  • Sugeno Fuzzy Models
  • Tsukamoto Fuzzy Models etc.
  • Neuro Fuzzy Modeling
  • Introduction to Neuro Fuzzy Control
3
Unit 3

Rough Set Theory

  • Introduction
  • Fundamental Concepts
  • Knowledge Representation
  • Set Approximations and Accuracy
  • Vagueness and Uncertainty in Rough Sets
  • Rough Membership Function
  • Attributes Dependency and Reduction
  • Application Domain
  • Hidden Markov Model (HMM)
  • Graphical Models
  • Variable Elimination
  • Belief Propagation
  • Markov Decision Processes
4
Unit 4

Evolutionary Computation

  • Genetic Algorithms: Basic Genetics
  • Concepts
  • Working Principle
  • Creation of Offsprings
  • Encoding
  • Fitness Function
  • Selection Functions
  • Genetic Operators-Reproduction
  • Crossover
  • Mutation
  • Genetic Modeling
  • Benefits
  • Problem Solving
  • Introduction to Genetic Programming
  • Evolutionary Programming
  • Evolutionary Strategies
5
Unit 5

Swarm Intelligence

  • Introduction to Swarm Intelligence
  • Swarm Intelligence Techniques: Ant Colony Optimization (ACO): Overview
  • ACO Algorithm
  • Particle Swarm Optimization (PSO): Basics
  • Social Network Structures
  • PSO Parameters and Algorithm
  • Grey wolf optimization(GWO)
  • Application Domain of ACO and PSO
  • Bee Colony Optimization etc.
  • Hybrid CI Techniques and applications
  • CI Tools

Reference Books

  • Computational Intelligence: Concepts to Implementations — Russell C. Eberhart, Yuhui Shi — Morgan Kaufmann Publishers
  • Computational Intelligence: An Introduction — Andries P. Engelbrecht — Wiley Publishing
  • Genetic Algorithm in Search Optimization and Machine Learning — David E. Goldberg — Pearson Education
  • Evolutionary and Swarm Intelligence Algorithms — Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal — Springer Publishing
  • Neural Networks, Fuzzy Logic, Genetic Algorithms Synthesis and Applications — S. Rajasekaran, G.A. VijayalakshmiPai — PHI
  • Fuzzy Logic with Engineering Applications — Timothy J. Ross — McGraw-Hill
  • NeuralNetworks: A Comprehensive Foundation — Simon Haykin — Prentice Hall
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