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Principles Of Soft Computing is for beginner to advanced level readers, who are keen to learn about the basics of soft computing. This book contains sample papers, examples, and problems. Summary Of The Book Principles Of Soft Computing comprehensively covers the fundamental concepts and principles of soft computing. Principles Of Soft Computing covers topics like Defuzzification, Special Networks, Membership Functions, and Supervised Learning Network. The guide has a large number of examples on neural networks, which help clarify the difference between various types of architectures. Readers will also come across examples that showcase different fuzzy logic techniques. Genetic algorithm classifications and operators have also been explained. Furthermore, Principles Of Soft Computing shows how to implement techniques of soft computing while using C and C++. Many hybrid techniques and MATLAB based simulated solutions are also a part of this book. Case studies which illustrate the applications of soft computing in emerging fields can also be found in this book. From the first edition itself, the authors had listed learning objectives, summary and solved problems within each chapter. In this new edition, students will find five sample question papers. Principles Of Soft Computing is designed for researchers, programmers, engineers, and management experts. This book is ideal for any professional who uses soft computing techniques. About The Authors S. N. Sivanandam is a professor and the HOD of the Computer Science and Engineering Department at the PSG College of Technology, in Coimbatore. Sivanandam has also penned down Introduction to Neural Networks Using MATLAB 6.0, Introduction to Genetic Algorithms, and Electric Circuit Analysis. The author graduated from the Government College of Technology In 1964, with a BE in Electrical and Electronics Engineering. He then did his M.Sc in Power System from the PSG College of Technology in 1966. Sivanandam completed his Ph.D in Control Systems from the Madras University in 1982. In 2001, he was honoured with the Best Teacher Award, and also PSG College of Technology’s Dhakshina Murthy Award for Teaching Excellence. S. N. Deepa is an Assistant Professor in the Department of Electrical and Electronics Engineering at Anna University of Technology in Coimbatore. She has also written Problems & Solutions In Electric Circuit Analysis, Introduction To Fuzzy Logic Using Matlab and Control Systems Engineering Using MATLAB. Deepa graduated with a BE in 1999 from the Government College of Technology. In 2004, she was given the Best Outgoing Student Award after completing her ME from the PSG College of Technology. Her ME thesis was given the National Award from the Indian Society of Technical Education. In 2008, Deepa completed her Ph.D from Anna University. She is the winner of the 1997 G. D. Memorial Award.