CSVTU BE VIII Sem Artificial Neural Network & Fuzzy Logic Syllabus

CSVTU BE VIII Sem Artificial Neural Network & Fuzzy Logic Syllabus

Chhattisgarh Swami Vivekanand Technical University, Bhilai

Semester: 8th Branch: Electrical Engg.

Subject: Artificial Neural Network & Fuzzy Logic

Unit-I

Introduction to Network Architecture, Learning Processes, Single Layer Perceptions, Multilayer Perceptions

Unit-II

Radial –Basis Function Networks, Support Vector Machinees, Committee Machines

Unit-III

Principal Components Analysis, Self-Organising Maps, Information-Theoretic Models

Unit-IV

Stochastic Machines & their Approximates Rooted: Statistical Mechanics, Euro-dynamic Programming, Temporal

Processing Using feed-forward Networks, Neuro-dynamics, and Dynamically Driven Recurrent Networks

Unit-V

Fuzzy Systems, Fuzzy sets & Relations, Fuzzy-To –Crisp Conversion, Simple Application of Fuzzy Systems

Text Book:

1. Neural Networks, A Comprehensive foundation,2

nd

Edition by: Simon Haykin, Pearson Education.

2. Zimmerman, H.J.”Fuzzy Set Theory & its Applications,” Allied Publishers, New Delhi, 1996.

Reference Books:

1. Dan W Patterson,” Artificial Neural Network-Theory & Application “, Prentice Hall of India, 1996

2. Timothy J Ross,” Fuzzy Logic with Engineering Applications,” McGraw Hill International Edition, USA, 1997

3. Chin-Teng Line & George C.S.,”NeuralFuzzy Systems”, Prentice Hall International Inc, USA, 1996.

4.

 

Li Min Fu,”Neural Networks in Computer Intelligence”, McGraw Hill, USA, 1994.

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