文章基本信息

标题：Survey paper on Advanced Equipment Execution of ANN for FPGA
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作者：Saima Kanwal ; Arslan Yousaf ; Maria Imtiaz 等
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.