Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition p...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2005.
Cham : Springer Nature |
| シリーズ: | Studies in Fuzziness and Soft Computing
172 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing, Texte imprimé, 9783642063251 • Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing, Texte imprimé, 9783540806158 • Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing, Texte imprimé, 9783540241218 |
目次:
- Introduction to Pattern Recognition with Intelligent Systems
- Type-1 Fuzzy Logic
- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic
- Supervised Neural Networks
- Unsupervised Neural Networks
- Modular Neural Networks
- Evolutionary Computing for Architecture Optimization
- Clustering with Intelligent Techniques
- Face Recognition with Modular Neural Networks and Fuzzy Measures
- Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures
- Voice Recognition with Neural Networks and Genetic Algorithms
- Human Recognition Using Face, Fingerprint and Voice.