Neuro-fuzzy pattern recognition : methods in soft computing
Author(s)
Bibliographic Information
Neuro-fuzzy pattern recognition : methods in soft computing
（Wiley series on intelligent systems / James Albus, Alexander Meystel and Lotfi A. Zadeh (eds.)）
Wiley, c1999
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Pattern recognition is of great importance in many aspects of computer technologies, especially human-computer interactions. Voice recognition software, intelligent agents, and machine vision systems are all examples of technologies utilising pattern recognition. Written by an internationally known neural network expert, this book applies fuzzy logic and neural networks to the task of pattern recognition. It presents contemporary state-of-the-art technology in pattern recognition.
Table of Contents
- Fuzzy logic and neural networks
- models, integration and soft computing
- pattern classification
- other applications of fuzzy MLP
- self-organization, pixel classification and object extraction
- feature evaluation
- rule generation and inferencing
- using knowledge-based networks and fuzzy sets
- rough-fuzzy knowledge-based networks and fuzzy sets.
by "Nielsen BookData"