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文章基本信息

  • 标题:Interpolation of Generalized Functions Using Artificial Neural Networks
  • 本地全文:下载
  • 作者:Raghu T Mylavarapu ; Bharadwaja Krishnadev Mylavarapu ; Uday Shankar Sekhar
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2018
  • 卷号:06
  • 期号:07
  • 页码:34-40
  • DOI:10.4236/jcc.2018.67004
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper we employ artificial neural networks for predictive approximation of generalized functions having crucial applications in different areas of science including mechanical and chemical engineering, signal processing, information transfer, telecommunications, finance, etc. Results of numerical analysis are discussed. It is shown that the known Gibb’s phenomenon does not occur.
  • 关键词:Function Interpolation;Hidden Layer;Weight;Bias;Machine Learning;Distributions;Dirac’s Function;Heaviside’s Function;Gibb’s Phenomenon
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