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...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore ; River Edge, N.J. :
World Scientific,
2000.
|
| Schriftenreihe: | Series in machine perception and artificial intelligence ;
vol. 41. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry. |
| Beschreibung: | 1 online resource (x, 264 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9789812792204 9812792201 |
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| contents | 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. |
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| indexdate | 2024-11-27T13:25:11Z |
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| spelling | Neuro-fuzzy pattern recognition / editors H. Bunke, A. Kandel. Singapore ; River Edge, N.J. : World Scientific, 2000. 1 online resource (x, 264 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Series in machine perception and artificial intelligence ; vol. 41 Includes bibliographical references. Print version record. 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. 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 selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry. Pattern recognition systems. http://id.loc.gov/authorities/subjects/sh85098791 Fuzzy systems. http://id.loc.gov/authorities/subjects/sh85052628 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Pattern Recognition, Automated https://id.nlm.nih.gov/mesh/D010363 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Reconnaissance des formes (Informatique) Systèmes flous. Réseaux neuronaux (Informatique) COMPUTERS Optical Data Processing. bisacsh Fuzzy systems fast Neural networks (Computer science) fast Pattern recognition systems fast Bunke, Horst. Kandel, Abraham. Print version: Neuro-fuzzy pattern recognition. Singapore ; River Edge, N.J. : World Scientific, 2000 9810244185 (DLC) 2001269534 (OCoLC)46647317 Series in machine perception and artificial intelligence ; vol. 41. http://id.loc.gov/authorities/names/n91107585 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514221 Volltext |
| spellingShingle | Neuro-fuzzy pattern recognition / Series in machine perception and artificial intelligence ; 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. Pattern recognition systems. http://id.loc.gov/authorities/subjects/sh85098791 Fuzzy systems. http://id.loc.gov/authorities/subjects/sh85052628 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Pattern Recognition, Automated https://id.nlm.nih.gov/mesh/D010363 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Reconnaissance des formes (Informatique) Systèmes flous. Réseaux neuronaux (Informatique) COMPUTERS Optical Data Processing. bisacsh Fuzzy systems fast Neural networks (Computer science) fast Pattern recognition systems fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85098791 http://id.loc.gov/authorities/subjects/sh85052628 http://id.loc.gov/authorities/subjects/sh90001937 https://id.nlm.nih.gov/mesh/D010363 https://id.nlm.nih.gov/mesh/D016571 |
| title | Neuro-fuzzy pattern recognition / |
| title_auth | Neuro-fuzzy pattern recognition / |
| title_exact_search | Neuro-fuzzy pattern recognition / |
| title_full | Neuro-fuzzy pattern recognition / editors H. Bunke, A. Kandel. |
| title_fullStr | Neuro-fuzzy pattern recognition / editors H. Bunke, A. Kandel. |
| title_full_unstemmed | Neuro-fuzzy pattern recognition / editors H. Bunke, A. Kandel. |
| title_short | Neuro-fuzzy pattern recognition / |
| title_sort | neuro fuzzy pattern recognition |
| topic | Pattern recognition systems. http://id.loc.gov/authorities/subjects/sh85098791 Fuzzy systems. http://id.loc.gov/authorities/subjects/sh85052628 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Pattern Recognition, Automated https://id.nlm.nih.gov/mesh/D010363 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Reconnaissance des formes (Informatique) Systèmes flous. Réseaux neuronaux (Informatique) COMPUTERS Optical Data Processing. bisacsh Fuzzy systems fast Neural networks (Computer science) fast Pattern recognition systems fast |
| topic_facet | Pattern recognition systems. Fuzzy systems. Neural networks (Computer science) Pattern Recognition, Automated Neural Networks, Computer Reconnaissance des formes (Informatique) Systèmes flous. Réseaux neuronaux (Informatique) COMPUTERS Optical Data Processing. Fuzzy systems Pattern recognition systems |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514221 |
| work_keys_str_mv | AT bunkehorst neurofuzzypatternrecognition AT kandelabraham neurofuzzypatternrecognition |