Radial Basis Function Networks 2: New Advances in Design
The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the bas...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2001
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
67 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers |
| Beschreibung: | 1 Online-Ressource (XIX, 360 p) |
| ISBN: | 9783790818260 |
| DOI: | 10.1007/978-3-7908-1826-0 |
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| id | DE-604.BV045149574 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790818260 |
| language | English |
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| physical | 1 Online-Ressource (XIX, 360 p) |
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| spelling | Radial Basis Function Networks 2 New Advances in Design edited by Robert J. Howlett, Lakhmi C. Jain Heidelberg Physica-Verlag HD 2001 1 Online-Ressource (XIX, 360 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 67 The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers Computer Science Artificial Intelligence (incl. Robotics) Pattern Recognition Computer science Artificial intelligence Pattern recognition Howlett, Robert J. edt Jain, Lakhmi C. edt Erscheint auch als Druck-Ausgabe 9783790824834 https://doi.org/10.1007/978-3-7908-1826-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Radial Basis Function Networks 2 New Advances in Design Computer Science Artificial Intelligence (incl. Robotics) Pattern Recognition Computer science Artificial intelligence Pattern recognition |
| title | Radial Basis Function Networks 2 New Advances in Design |
| title_auth | Radial Basis Function Networks 2 New Advances in Design |
| title_exact_search | Radial Basis Function Networks 2 New Advances in Design |
| title_full | Radial Basis Function Networks 2 New Advances in Design edited by Robert J. Howlett, Lakhmi C. Jain |
| title_fullStr | Radial Basis Function Networks 2 New Advances in Design edited by Robert J. Howlett, Lakhmi C. Jain |
| title_full_unstemmed | Radial Basis Function Networks 2 New Advances in Design edited by Robert J. Howlett, Lakhmi C. Jain |
| title_short | Radial Basis Function Networks 2 |
| title_sort | radial basis function networks 2 new advances in design |
| title_sub | New Advances in Design |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Pattern Recognition Computer science Artificial intelligence Pattern recognition |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Pattern Recognition Computer science Artificial intelligence Pattern recognition |
| url | https://doi.org/10.1007/978-3-7908-1826-0 |
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