2K6 EC 705 (C): SOFT COMPUTING

Module I (13 hours)
Basic concepts – Single Layer Perception – Multi Layer Perception – Adaline – Madaline – Learning Rules – Supervised Learning – Back Propagation Networks – Training Algorithm – Practical Difficulties – Advanced Algorithms – Adaptive Network – Radial Basis – Network – Modular Network – Applications.
Module II (13 hours)
Unsupervised Learning – Competitive Learning Networks – Kohonen self organising networks – Learning Vector Quantization – Hebbian Learning – Hopfield Network –Content Addressable Nature – Binary Hopfield Network – Continuous Hopfield Network Traveling Salesperson Problem – Adaptive Resonance Theory – Bidirectional Associative Memory – Principle Component Analysis
Module III (13 hours)
Fuzzy Sets–Fuzzy Rules: Extension Principle, Fuzzy Relation – Fuzzy Reasoning – Fuzzy Inference Systems – Mamdani Model – Sugeno Model – Tsukamoto Model– Fuzzy decision Making – Multiobjective Decision Making – FuzzyClassification– Fuzzy Control Methods – Application.
Module IV(13 hours)
Adaptive Neuro Fuzzy Based Inference Systems – Classification and Regression Trees: Decision Tress – Cart Algorithm – Data Clustering Algorithms: K Means Clustering, Fuzzy C Means Clustering, Mountain Clustering, Subtractive Clustering, Rule Base Structure Identification – Neuro Fuzzy Control – Feedback Control Systems– Expert Control – Inverse Learning – Specialized Learning – Back Propagation Through Real Time Recurrent Learning .

TEXT BOOK
1. Jang J S R Sun C T and Mizutani E, “Neuro Fuzzy and Soft computing”, Pearson Education, (Singapore) 2004.
2. Timothy J Ross, “Fuzzy Logic Engineering Applications”, McGrawHill NewYork, 1997
REFERENCES
1. David E Goldberg, “Genetic Algorithms in Search Optimization and Machine Learning”, Pearson Education, Asia, 1996.
2. Laurene Fauseett, “Fundamentals of Neural Networks” Prentice Hall, India, New Delhi, 1994.
3. S Rajasekaran and G A Vijayalakshmi Pai, “Neural networks Fuzzy logics and Genetic algorithms”, Prentice Hall of India, 2003.
4. George J Klir and Bo Yuan, “Fuzzy Sets and Fuzzy Logic”, Prentice Hall