EE 7102 SOFT COMPUTING TECHNIQUES & APPLICATIONS Syllabus Electrical Engineering(EE) 7th sem RGTU/RGPV Syllabus

RGTU/RGPV EE 7102 SOFT COMPUTING TECHNIQUES & APPLICATIONS Syllabus
RGTU/RGPV EE SOFT COMPUTING TECHNIQUES & APPLICATIONS SYLLABUS
Electrical Engineering EE 7th (VII) Semester Syllabus

EE 7102 SOFT COMPUTING TECHNIQUES & APPLICATIONS Course Contents:

UNIT-1
Review of probability theory: Random variable, distribution functions , function of random variable. generation of random digit, and random variants from various distribution function, Monte Carlo simulation, sampling distributions station evolution using MCS, confidence interval, coefficient of variation.

UNIT-2
- rule, and back propagation rule of training, RBF and FLN network.

UNIT-3
Draw back of classical optimization techniques, genetic algorithm; binary and real parameter GA, constraints handling in GA.

UNIT-4
Evolution strategies(ES), two members non-recombinative ES, multi member ES, recombinative ES.
Optimization based on swarm intelligence particle, swarm optimization and its variants .

UNIT-5
Application of soft computing techniques to problem of electrical engg. e.g. economic dispatch, reliable optimization, ANN training using evolutionary algorithms.

References:
1. R.Y. Rubinstein Simulation and the Monte Carlo method, John Wiley &
sons 1st Edition.
2 Paul. L. Mayer-Introducing probability and statical application, Addition
Weslay.
3 Rajasekaran and pai- Neural Network, Fuzzy logic & Genetic Algorithms.
PHI Learing
4 LiMin. Fu, Neural Networks in Computer Intelligence, 9th Reprint TMH
5 Multi objective optimization using evolutionary algorithm- Kalyanmoy Deb John
Wiley & Sons Ltd.
6 Probability and Random processes for Electrical Engineering , Alberto Leon Garcia IInd Pearson .
. 7 Principles of soft computing- S N Shivanandan, S N Deepa Wiley India (P) Ltd, I edition 2007.
8 Hand book of genetic algorithm- Rajaserkharans, vijaya laxmi pai.
9 PSO Tutorial- Kennedy Ebuehart.
10 Sivanandam & Deepa- An Introduction to Neural Networks using
Matlab 6.0 1st ed., TMH
11 M.Amirthavalli, Fuzzy logic and neural networks, Scitech publications.

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