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人工神经网络并行处理的实现模型

The Implementation Models of the Parallism of Artificial Neural Network

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【摘要】 <正> 一、人工神经网络的并行性分析人工神经网络(Artificial Neural Network,简称ANN)具有并行处理、连续计算等特点,其并行性蕴涵在神经元模型与整个网络两个逻辑层中。 1.神经元模型的并行性 ANN的基本组成单元——M-P神经元模型如图1所示。其中:(x1,x2,…,xn)是神经元的n维输

【Abstract】 It is found that the key of implementing the parallelism is to implement the parallel computation of summing the build-in weighted-product of Artificial Neuron.In this paper, the characteristics of three main kinds of Artificial Neural Network have been analysed. On the basis of introducing a two-way MAT model, another model, called one-way MAT, has been presented. They are analysed and compared on such respects as structures, mechanisms of running, overheads , advantages and limit.

  • 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,1999年01期
  • 【分类号】TP183
  • 【被引频次】2
  • 【下载频次】87
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