Principles Of Soft Computing (With CD)

0.0

This book is meant for a wide range of readers who wish to learn the basic concepts of soft computing. It can also be helpful for programmers, researchers and management experts who use soft computing techniques. The basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort. Key Features He has delivered around 150 special lectures of different specialization in Summer/Winter school and also in various Engineering colleges He has guided and co guided 30 PhD research works and at present 9 PhD research scholars are working under him The total number of technical publications in International/National Journals/Conferences is around 700 He has also received Certificate of Merit 2005-2006 for his paper from The Institution of Engineers (India) He has chaired 7 International Conferences and 30 National Conferences. He is a member of various professional bodies like IE (India), ISTE, CSI, ACS and SSI. He is a technical advisor for various reputed industries and engineering institutions His research areas include Modeling and Simulation, Neural Networks, Fuzzy Systems and Genetic Algorithm, Pattern Recognition, Multidimensional system analysis, Linear and Nonlinear control system, Signal and Image processing, Control System, Power system, Numerical methods, Parallel Computing, Data Mining and Database Security About The Author Dr. S. N. Sivanandam completed his BE (Electrical and Electronics Engineering) in 1964 from Government College of Technology, Coimbatore, and MSc (Engineering) in Power System in 1966 from PSG College of Technology, Coimbatore. He acquired PhD in Control Systems in 1982 from Madras University. He received Best Teacher Awardin the year 2001 and Dhakshina Murthy Award for Teaching Excellence from PSG College of Technology. He received The CITATION for best teaching and technical contribution in the Year 2002, Government College of Technology, Coimbatore. He has a total teaching experience (UG and PG) of 41 years. The total number of undergraduate and postgraduate projects guided by him for both Computer Science and Engineering and Electrical and Electronics Engineering is around 600. He is currently working as a Professor and Head Computer Science and Engineering Department, PSG College of Technology, Coimbatore (from June 2000-till date). He has been identified as an outstanding person in the field of Computer Science and Engineering in MARQUIS ‘Who’s Who’, October 2003 issue, New providence, New Jersey, USA. Ms. S. N. Deepa has completed her BE Degree from Government College of Technology, Coimbatore, 1999 and ME Degree from PSG College of Technology, Coimbatore, 2004. She is currently a PhD Scholar in the Department of Computer Science and Engineering, PSG College of Technology, Coimbatore. She was a gold medalist in her BE Degree Program. She has received G.D. Memorial Award in the year 1997 and Best Outgoing Student Award from PSG College of Technology, 2004. Her ME Thesis won National Award from the Indian Society of Technical Education and L&T, 2004. She has published 4 books and papers in International and National Journals. Her research areas include Neural Network, Fuzzy Logic, Genetic Algorithm, Linear and Nonlinear Control Systems, Digital Control, Adaptive and Optimal Control. Table Of Contents Preface Introduction Artificial Neural Network: An Introduction Supervised Learning Network Associative Memory Networks Unsupervised Learning Networks Special Networks Introduction to Classical Sets and Fuzzy Sets Classical Relations and Fuzzy Relations Membership Functions Defuzzification Fuzzy Arithmetic and Fuzzy Measures Fuzzy Rule Base and Approximate Reasoning Fuzzy Decision Making Fuzzy Logic Control Systems Genetic Algorithm Applications of Soft Computing Soft Computing Techniques Using C and C++ MATLAB Environment for Soft computing Techniques Bibliography Index