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Neuro-fuzzy pattern recognition /
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; River Edge, N.J. :
World Scientific,
2000.
|
| Colección: | Series in machine perception and artificial intelligence ;
vol. 41. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Methodology. Simultaneous feature analysis and system identification in a neuro-fuzzy framework / N.R. Pal and D. Chakraborty
- Neuro-fuzzy model for unsupervised feature extraction with real life applications / R.K. De [and others]
- A computational-intelligence-based approach to decision support / M.B. Gorzalczany
- Clustering problem using fuzzy c-means algorithms and unsupervised neural networks / J.-S. Lin
- Automatic training of min-max classifiers / A. Rizzi
- Granular computing in pattern recognition / W. Pedrycz and G. Vukovich
- ART-based model set for pattern recognition: FasArt family / G.I. Sainz Palmero [and others]
- Applications. A methodology and a system for adaptive speech recognition in anoisy environment based on adaptive noise cancellation and evolving fuzzy neural networks / N. Kasabov and G. Iliev
- Neural versus heuristic development of Choquet fuzzy integral fusion algorithms for land mine detection / P.D. Gader [and others]
- Automatic segmentation of multi-spectral MR brain images using a neuro-fuzzy algorithm / S.Y. Lee [and others]
- Vision-based neuro-fuzzy control of autonomous lane following vehicle / Y.-J. Ryoo.