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Titlebook: Radial Basis Function Networks 2; New Advances in Desi Robert J. Howlett,Lakhmi C. Jain Book 2001 Springer-Verlag Berlin Heidelberg 2001 Ne

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書(shū)目名稱Radial Basis Function Networks 2
副標(biāo)題New Advances in Desi
編輯Robert J. Howlett,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/821/820412/820412.mp4
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
叢書(shū)名稱Studies in Fuzziness and Soft Computing
圖書(shū)封面Titlebook: Radial Basis Function Networks 2; New Advances in Desi Robert J. Howlett,Lakhmi C. Jain Book 2001 Springer-Verlag Berlin Heidelberg 2001 Ne
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
關(guān)鍵詞Neural Networks; RBF; Radial Basis Function; algorithms; biomedical engineering; classification; cognition
版次1
doihttps://doi.org/10.1007/978-3-7908-1826-0
isbn_softcover978-3-7908-2483-4
isbn_ebook978-3-7908-1826-0Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2001
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Book 2001onal 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 net
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Using Radial Basis Function Networks for Hand Gesture Recognition,ognition. This chapter furthermore applies evolutionary algorithms to fine tune pre-learned radial basis function networks. After optimization, the network achieves a recognition rate of up to 100%, and is therefore comparable or even better than that of back-propagation networks.
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