Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence. This is done with the goal of creating tools that will contain some human-like capabilities (such as learning, reasoning and decision-making).This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks, and various evolutionary algorithms. It offers a learner-centric approach where each new concept is introduced with carefully designed examples/instances to train the learner. Salient Features Excellent pedagogy 80 unsolved and 230 solved questions More than 500 figures MCQs at the end of every chapter; more than 300 MCQs in total MATLAB implementation Summary at the end of every chapter Case studies to help the students get a practical perspective of the subject.

More Details about Introduction To Soft Computing: Neuro-Fuzzy And Genetic Algorithms

General Information  
Author(s)Samir Roy and Udit Chakraborty
Edition1st Edition
Publish YearJanuary 2013