A DSP-based Neural Network Signal Processing System

被引：0
|
作者：
Zhang Jinwen Ma Yuanliang (Northwestern Polytechnical University
机构：
来源：
HighTechnologyLetters | 1995年 / 01期
基金：
中国国家自然科学基金;
关键词：
ANN; Parallel processing; Shared memory; Processing Elements(PE);
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算]; TP368.12 [];
学科分类号：
081104 ; 0812 ; 081201 ; 0835 ; 1405 ;
摘要：
Implementation of artificial neural network(ANN)is very important to theoretical studyand applications of ANN.On the basis of studying existing methods,this paper concentrateson the DSP-based virtual implementation of ANN.A parallel processing system composed ofTMS320C30 has been designed and configured,which ean provide a peak speed as high as100 MFLOPS and a parallel efficiency of 90%(during the forward phase of BP),and can heused for sonar signal processing.Scalability of the system is also studied.
引用
收藏
页码：41 / 43
页数：3
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