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  • 标题:Survey paper on Advanced Equipment Execution of ANN for FPGA
  • 本地全文:下载
  • 作者:Saima Kanwal ; Arslan Yousaf ; Maria Imtiaz
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2018
  • 卷号:9
  • 期号:7
  • 页码:67-72
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:Artificial intelligence is the area of computer science that aims at to create the intelligence machine. Artificial neural network is network that has different processing element. This survey paper recommends the implementation of Artificial Neural Network (ANN) in Field Programmable Gate Array (FPGA) and activates it through sigmoid function. This paper also proposes the implementation of new sigmoid function method in FPGA that combines the Look-Up Table (LUT) and Second Order Nonlinear Function (SONF). By this proposed method ANN works speedily, uses less resource and achieves high accuracy.
  • 关键词:ANN ; FPGA; sigmoid function; look up table; second order nonlinear function.
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