[1]李浩江,魏蛟龙,周曼丽.基于VHDL神经网络研究法[J].深圳大学学报理工版,2002,19(1):40-48.
 LI Hao-jiang,WEI Jiao-long and ZHOU Man-li.A Research Methodology for Neural Network Based on VHDL[J].Journal of Shenzhen University Science and Engineering,2002,19(1):40-48.
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基于VHDL神经网络研究法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第19卷
期数:
2002年1期
页码:
40-48
栏目:
出版日期:
2002-03-30

文章信息/Info

Title:
A Research Methodology for Neural Network Based on VHDL
文章编号:
1000-2618(2002)01-0040- 09
作者:
李浩江魏蛟龙周曼丽
华中科技大学电子与信息工程系,武汉430074
Author(s):
LI Hao-jiang; WEI Jiao-long and ZHOU Man-li
Electronic & Information Engineering Department Huazhong University of Science and Technology Wuhan 430074 P.R. China
关键词:
神经网络VHDL方法学仿真
Keywords:
neural network VHDL methodology simulation
分类号:
TP 18 ;TP 312
文献标志码:
A
摘要:
介绍VHDL语言的特点,及其应用于神经网络研究的优点和可行的研究方法,提出一种全新的并行动态刺激延时神经网络.通过将算法融于网络结构,由互相并行的每个神经元自主地根据输入进行动态的权值调整,从整体上仿真生物神经网络的运行规律,并用VHDL语言仿真了这个神经网络.结果表明这种方法是可行的,它能够极大地拓宽神经网络研究的范围和方法.
Abstract:
This paper presents a new research methodology for Artificial Neural Network(ANN)-VHDL simulation .In the current ANN, algorithms have been proposed to solve specific information processing problems through manipulation of ANN ’s connection weights .They are not capable of solving effectively problems in ANN as a whole .At the same time VHDL language is only used to put an ANN into hardware. This paper analyzes the VHDL language’s advantages in ANN simulation and presents a new parallel dynamic stimulate-delay ANN model using VHDL simulation .In this model algorithms and structures are merged in the sense as the activity of each neuron relies soly on its inputs while the function of ANN is determined by the connections between those neurons .This method considers the ANN as a whole and can simulate the biology NN and can widen the ANN research range.

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更新日期/Last Update: 2015-12-11