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Soft Computing Notes PDF VSSUT – SC Notes PDF VSSUT of Total Complete Notes

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Soft Computing Notes, Soft Computing pdf, SC pdf, SC notes, Soft Computing Notes pdf free download
Soft Computing Notes, Soft Computing pdf, SC pdf, SC notes, Soft Computing Notes pdf free download

Link: Complete Notes

All the Subject notes link

Module – 1

Introduction to Neuro, Fuzzy and Soft Computing, Fuzzy Sets : Basic Definition and Terminology,

Set-theoretic Operations, Member Function Formulation and Parameterization,

Fuzzy Rules and Fuzzy Reasoning, Extension Principle and Fuzzy Relations,

Fuzzy If-Then Rules, Fuzzy Reasoning , Fuzzy Inference Systems, Mamdani Fuzzy Models, Sugeno Fuzzy Models, Tsukamoto Fuzzy Models,

Input Space Partitioning and Fuzzy Modeling.

Link: Module 1 – Soft Computing Notes

Module – 2

Neural networks: Single layer networks, Perceptrons: Adaline, Mutilayer Perceptrons Supervised
Learning, Back-propagation,

LM Method, Radial Basis Function Networks, Unsupervised Learning Neural Networks,

Competitive Learning Networks, Kohonen Self-Organizing Networks,

Learning Vector Quantization, Hebbian Learning. Recurrent neural networks,

Adaptive neuro-fuzzy information;systems (ANFIS), Hybrid Learning Algorithm, Applications to control and pattern recognition.

Link: Module 2 – Soft Computing Notes

Module – 3

Derivative-free Optimization Genetic algorithms: Basic concepts, encoding, fitness function,

Basic flow chart of EA,Special features of GA,PARENT SELECTION,CROSSOVER,

ADVANTAGES AND DISADVANTAGES OF EA,Differences and similarities between GA and other traditional methods,

reproduction. Differences of GA and traditional optimization methods. Basic genetic programming
concepts Applications.,

Link: Module 3 – Soft Computing Notes

Module – 4

Evolutionary Computing, Simulated Annealing, Random Search, Downhill Simplex Search, Swarm
optimization,

Drawback of traditional techniques,Analogy-based algorithms,Random search algorithms.

Link: Module 4 – Soft Computing Notes

BOOKS
[1]. J.S.R.Jang, C.T.Sun and E.Mizutani, “Neuro-Fuzzy and Soft Computing”, PHI, 2004, Pearson
Education 2004.
[2]. Timothy J.Ross, “Fuzzy Logic with Engineering Applications”, McGraw-Hill, International
Editions, Electrical Engineering Series, Singapore, 1997.
[3]. Davis E.Goldberg, “Genetic Algorithms: Search, Optimization and Machine Learning”,
Addison Wesley, N.Y., 1989.
[4]. R.Eberhart, P.Simpson and R.Dobbins, “Computational Intelligence – PC Tools”, AP
Professional, Boston, 1996.
[5]. Stamatios V. Kartalopoulos “Understanding Neural Networks and Fuzzy Logic Basic
concepts & Applications”, IEEE Press, PHI, New Delhi, 2004.

[6]. Vojislav Kecman, “Learning & Soft Computing Support Vector Machines, Neural Networks,
and Fuzzy Logic Models”, Pearson Education, New Delhi,2006.
[7] S. Rajasekaran & GA Vijayalakshmi Pai “Neural Networks, Fuzzy Logic, and Genetic
Algorithms synthesis and application”, PHI.

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