Neuro-Fuzzy Pattern Recognition
Methods in Soft Computing
376 pages, parution le 15/09/1999
Résumé
An integral part of advanced systems and a topic of growing
importance in almost every
aspect of new computer technologists, pattern recognition boasts many applications in
human-computer interactions, including recognition software, intelligent agents, and
machine vision systems. In Neuro-Fuzzy Pattern Recognition, leading neural network
researchers present the state of the art of fuzzy logic and neural networks as they are
applied to the task of pattern recognition.
aspect of new computer technologists, pattern recognition boasts many applications in
human-computer interactions, including recognition software, intelligent agents, and
machine vision systems. In Neuro-Fuzzy Pattern Recognition, leading neural network
researchers present the state of the art of fuzzy logic and neural networks as they are
applied to the task of 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
References
Appendices
References
Index
L'auteur - Sushmita Mitra
He is an associate professor at Machine Intelligence Unit, Indian Statistical Institute, in Calcutta. She is a coauthor of Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, also published by Wiley.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Wiley |
| Auteur(s) | Sankar Pal, Sushmita Mitra |
| Parution | 15/09/1999 |
| Nb. de pages | 376 |
| Format | 16 x 24 |
| Poids | 700g |
| EAN13 | 9780471348443 |
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