Neuro-fuzzy pattern recognition : methods in soft computing
著者
書誌事項
Neuro-fuzzy pattern recognition : methods in soft computing
（Wiley series on intelligent systems / James Albus, Alexander Meystel and Lotfi A. Zadeh (eds.)）
Wiley, c1999
大学図書館所蔵 件 / 全15件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 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.
「Nielsen BookData」 より