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  • 标题:Novel Architecture For ANN Based Low Power Multiplier
  • 本地全文:下载
  • 作者:Shilpakala.V. ; G.F. Ali Ahammed
  • 期刊名称:Webology
  • 印刷版ISSN:1735-188X
  • 出版年度:2022
  • 卷号:19
  • 期号:2
  • 页码:5908-5920
  • 语种:English
  • 出版社:University of Tehran
  • 摘要:This article discuss about the various architectural issues pertaining to the development of suitable model for the ANN (Artificial Neural Network) for the multiplier operation with the suitable widespread parameters to be considered for the betterment of low power applications with the consideration of Area, Delay and power of the particular FPGA based applications. The essential functional unit of ANN is to perform the basic multiplier operation, the use of ANN as an operation of multiplier for executable with the neuron exist in the network. The desired work is carried out in xlinix vivado platform by selecting the best possible weights and biases.
  • 关键词:ANN;FPGA;Multiplier;Xilinx
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