Guidelines

Which is the best book for soft computing?

Which is the best book for soft computing?

This book provides a comprehensive knowledge of the fundamental concepts and techniques in soft computing, which is a burning topic of research now-a-days in the field of computational intelligence along with some of their application to control and pattern recognition.

What are the basic concepts of soft computing?

This course will cover fundamental concepts used in Soft computing. The concepts of Fuzzy logic (FL) will be covered first, followed by Artificial Neural Networks (ANNs) and optimization techniques using Genetic Algorithm (GA).

What can I learn from soft computing course?

In summary, this course will provide exposure to theory as well as practical systems and software used in soft computing. After completing this course, you will be able to learn: Fuzzy logic and its applications. Artificial neural networks and its applications. Solving single-objective optimization problmes using GAs.

Who is the author of soft computing theory?

“Soft Computing and Intelligent Systems – Theory and Application”, by Naresh K. Sinha and Madan M. Gupta (2000), Academic Press, Chapter 1-25, page 1-625. 3

Simulated solutions for soft computing concepts using MATLAB package. Various hybrid soft computing in S. N. Sivanandam, S.N. Deepa. In this book the basic concepts of soft computing are dealt in detail with the relevant Dr. S. N. Sivanandam completed his BE (Electrical and Electronics.

What are the main aims of soft computing?

•The aim of Soft Computing is to exploit the tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making. •The Soft Computing – development history SC = EC + NN +FL Soft Computing Evolutionary Computing Neural Network Fuzzy Logic

Which is a field of soft computing Zadeh?

•Zadeh, defined Soft Computing into one multidisciplinary system as the fusion of the fields of Fuzzy Logic, Neuro-Computing, Evolutionary and Genetic Computing, and Probabilistic Computing.