ABOUT THE BOOK
Soft Computing by Prof.Sivanamdam and Deepa is suggested as reference book for studying the following subjects:
Soft Computing in Computer Engineering Semester 7 (Mumbai University)
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 Computingshows 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.