CONSTRUCTION AND IMPLEMENTATION OF THE PARALLEL COMPUTING MODEL OF DBP LEARNING ALGORITHM
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The software simulation of artificial neuraI networks,and the design,implementation and evaluation of parallel algorithm about artificial neural networks are highly important to the research and production of neural computers and the various of special neural VLSI chips. In this paper,a DMMPMS (distributed—memory,message—passing multiprocessor system) is constructed as a muhicomputer architecture for simulating the artificial neural network at first,which is implemented by a multi—transputer system of aring topology form.Next,an executable parallel computing model of DBP algorithm of muhilayered neural network on dynamic ring topology is proposed and implemented,which mainly includes the strategy of partition and map for neural cells;the parallel algorithms of the forward computation of activations,the backpropagation of errors and the update of weights. Then the time complexity and speed—up ratio of the DBP algorithm are investigated.

    Reference
    Related
    Cited by
Get Citation

管惠维.动态环拓扑多机系统上DBP学习算法并行计算模型的构造与实现.软件学报,1996,7(2):111-118

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:December 29,1994
  • Adopted:
  • Online:
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063