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  • 标题:A New Approach Using Temporal Radial Basis Function in Chronological Series
  • 本地全文:下载
  • 作者:Mustapha Guezouri ; Larbi Mesbahi
  • 期刊名称:The International Arab Journal of Information Technology
  • 印刷版ISSN:1683-3198
  • 出版年度:2009
  • 卷号:6
  • 期号:1
  • 出版社:Zarqa Private University
  • 摘要:In this paper, we present an extended form of the radial basis function network called temporal- radial basis function network. This extended network is used in decision rules and classification in spatio-temporal domain applications like speech recognition, economic fluctuations, seismic measurements and robotics applications. We found that such a network complies, with a relative ease, to constraints such as capacity of universal approximation, sensibility of node, local generalisation in receptive field, etc. For an optimal solution based on a probabilistic approach with a minimum of complexity, we developped two temporal radial basis function models. Application to the problem of Mackey-Glass time series, it has revealed that temporal radial basis function models are very promising, compared to traditional networks
  • 关键词:Temporal RBF; classification; spatio-temporal; speech recognition; robotics applications
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