Soft Computing: Concepts And Techniques By M. Panda, M.R. Patra

Soft Computing: Concepts And Techniques By M. Panda, M.R. Patra
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Soft Computing: Concepts And Techniques By M. Panda, M.R. Patra

Publisher: Laxmi Publications
ISBN: 9789381159668

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PREFACE Soft computing SC , is an innovative approach to computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. Soft computing techniques having the roots in artificial intelligence AI consist of fuzzy logic FL neural network NN and evolutionary algorithms EA . There are many potential applications of soft computing methodologies, which includes pattern recognition, adaptive control system, robotics, data mining, and so on. This book has been written for undergraduate students and others, who are interested in using soft computing techniques. It has been developed as a textbook for one semester course at university for students pursing computer science and in almost all other branches of engineering. During the course of teaching soft computing, I found that no textbook covers the complete syllabi of the soft computing. In this book, we have attempted to cover all the syllabi along with many examples and their applications to pattern recognition and control. The text is divided into 4 chapters. Chapter 1 gives an overview of artificial intelligence with their Pros and Cons, followed by the various tools of soft computing needed to understand the concept. Non-Linear error surface and optimization techniques are also discussed to understand the usefulness of these in soft computing. Chapter 2 covers the fundamentals of fuzzy logic. It discusses some insights to the fuzzy relations, fuzzy inferencing along with examples that describes the real world applications. It also discusses about the various defuzzification methods. Chapter 3 introduces neural networks. It basically discusses various neural network architectures, such as feed-forward FFNN , backpropagation BPN , radial basis function RBF , self-organizing maps SOM , linear vector quantization LVQ and hybrid neuro-fuzzy system ANFIS , with many solved examples to understand the concept of soft computing. Finally, in Chapter 4, fundamentals of genetic algorithms GAs and genetic programming GP are covered with several examples. It presents different types of genetic representation, crossover operators and selection mechanism, along with various optimization methods like simulated annealing SA , hill climbing HL , etc. The chapter concludes with possible applications to robotics, data mining, and pattern recognitions. Authors
ACKNOWLEDGEMENTS We would like to thank Dr. S. P. Panda, Chairman, GGI, Gunupur and Dr. C. D. Panda, Secretary, GGI, Gunupur for their constant support, Prof. K. Govinda Rajulu, Former Head, ECE, GIET, Gunupur for his early motivation, and Dr. R. P. Panda, Head, ECE, VSSUT, Burla for his valuable suggestions in writing this book. Further, we would express our sincere thanks to all others who have directly and or indirectly helped us in bringing out this book in the present form in a short span of time. Authors