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EX-802 (D) · Application of AI in Electrical/Electronics Engg./Official Syllabus

Application of AI in Electrical/Electronics Engg. (EX-802 (D)) - Official Syllabus

1
Unit 1

Introduction-Models of Neural Network

  • Architectures
  • Knowledge representation
  • Artificial Intelligence and Neural networks
  • Learning process
  • Error correction learning
  • Hebbian learning
  • Competitive learning
  • Boltzman learning
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • learning tasks
2
Unit 2

Multi-layer perceptron using Back propagation Algorithm

  • Multi-layer perceptron using Back propagation Algorithm
  • Self-organizing Map
  • Radial Basis Function Network
  • Functional link network
  • Hopfield Network
3
Unit 3

Fuzzy sets and Fuzzy logic

  • Fuzzy versus crisp
  • Fuzzy sets
  • Membership function
  • Basic Fuzzy set operations
  • Properties of Fuzzy sets
  • Fuzzy cartesian Product
  • Operations on Fuzzy relations
  • Fuzzy logic
  • Fuzzy Quantifiers
  • Fuzzy Inference
  • Fuzzy Rule based system
  • Defuzzification methods
4
Unit 4

Genetic Algorithm

  • Encoding
  • Fitness Function
  • Reproduction operators
  • Genetic Modeling
  • Genetic operators
  • Crossover - Single-site crossover
  • Two-point crossover
  • Multi point crossover-Uniform crossover - Matrix crossover
  • Crossover Rate
  • Inversion & Deletion
  • Mutation operator - Mutation
  • Mutation Rate
  • Bit-wise operators
  • Generational cycle
  • convergence of Genetic Algorithm
5
Unit 5

Applications in Power Systems and Drives

  • Load forecasting
  • Load flow studies
  • Economic load dispatch
  • Load frequency control
  • Single area system and two area system
  • Small Signal Stability (Dynamic stability)
  • Reactive power control
  • speed control of DC and AC Motors

Reference Books

  • Neural Networks, Fuzzy Logic & Genetic Algorithms — S. Rajasekaran, G. A. V. Pai
  • Neural Computing Theory & Practice — P. D. Wasserman
  • Neural Network & Fuzzy System — Bart Kosko
  • Fuzzy sets, Uncertainty and Information — G. J. Klir, T. A. Folger
  • Genetic Algorithms — D. E. Goldberg
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