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ON SYSTOLIC ALGORITHMS AND NEURAL NETS FOR INFERENCE

 

作者: YONGFEI HAN,   DAVIDJ. EVANS,  

 

期刊: Parallel Algorithms and Applications  （Taylor Available online 1996）
卷期: Volume 8, issue 2  

页码: 169-175

 

ISSN:1063-7192

 

年代: 1996

 

DOI:10.1080/10637199608915550

 

出版商: Taylor & Francis Group

 

关键词: Parallel processing;systolic;neural nets;inference. C.R;E1.2;1.2.3

 

数据来源: Taylor

 

摘要:

This paper provides new systolic algorithms and a neural network for parallel inference. Systolic algorithms to partition the logic computation for orthogonal arrays and triangular arrays are presented. The neural network for inference is proposed then. For demonstrating the algorithms, a few examples executing on the systolic arrays and the neural networks are given. Finally, we work out the computational complexity of the algorithms and some suggestions.

 

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