书目名称 | Radial Basis Function Networks 2 | 副标题 | New Advances in Desi | 编辑 | Robert J. Howlett,Lakhmi C. Jain | 视频video | | 概述 | Contains a wide range of applications in the laboratory and case studies describing current use.Overall view of the methods used for the genetic optimization of artificial neural networks and presenta | 丛书名称 | Studies in Fuzziness and Soft Computing | 图书封面 |  | 描述 | The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. 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 applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. This volume, New Advances in Design, contains a wide range of applications in the laboratory and case-studies describing current use. The sister volume to this one, Recent Developments in Theory and Applications, covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms. The combination of the two volumes will prove extremely useful to practitioners in the field, engineers, research | 出版日期 | Book 2001 | 关键词 | Neural Networks; RBF; Radial Basis Function; algorithms; biomedical engineering; classification; cognition | 版次 | 1 | doi | https://doi.org/10.1007/978-3-7908-1826-0 | isbn_softcover | 978-3-7908-2483-4 | isbn_ebook | 978-3-7908-1826-0Series ISSN 1434-9922 Series E-ISSN 1860-0808 | issn_series | 1434-9922 | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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