Soft Computing and Its Applications: A Unified Concept
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Summary
This book will be highly useful to researchers in the area of pattern classification and computer vision as well as for academics and professionals. Combining theory and practice, the book presents several experimental results, all synthetic and real data, are provided on a unified platform for pattern classification and object recognition.
Table of Contents
Soft Computing Approach to Pattern Classification and Object Recognition
Passage Between Conventional Approach to Pattern Classification (Object Recognition) and Soft Computing Approach to Pattern Classification (Object Recognition)
Pattern Classification Based on Conventional Interpretation of MFI
Pattern Classification Based on New Interpretation of MFI
Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm
Neuro-Genetic Approach to Pattern Classification Based on the New Interpretation of MFI
Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm Design of Neuro-Fuzzy Approach to Occluded Object Recognition Based on New Interpretation of MFI Implementation of the New Interpretation of MFI on Back Propagation-Type Neural Network
Author Bio(s)
Kumar S. Ray, PhD, is a professor in the Electronics and Communication Science Unit at the Indian Statistical Institute, Kolkata, India. He has written a number of articles published in international journals and has presented at several professional meetings. His current research interests include artificial intelligence, computer vision, commonsense reasoning, soft computing, non-monotonic deductive database systems, and DNA computing.
