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PARALLEL SIMULATION OF CHARACTER RECOGNITION PROBLEMS USING NEUCOMP2

 

作者: D. J. EVANS,   M. N. SULAIMAN,  

 

期刊: Parallel Algorithms and Applications  （Taylor Available online 1996）
卷期: Volume 10, issue 1-2  

页码: 49-58

 

ISSN:1063-7192

 

年代: 1996

 

DOI:10.1080/10637199608915605

 

出版商: Taylor & Francis Group

 

关键词: Neural Network Compiler;NEUCOMP2;a shared-memory parallel machine;generalpurpose simulation tool;backpropagation;Kohonen;countcrpropagation;ART1 networks;SEQUENT Balance 8000

 

数据来源: Taylor

 

摘要:

NEUCOMP2 is a parallel Neural Network Compiler for a shared-memory parallel machine. It compiles a program written as a list of mathematical specifications of Neural Network (NN) models and then translates it into a chosen target program which contains parallel codes. Performance results for character recognition problems on popular NN models are presented. The models are the backpropagation, Kohonen, Counterpropagation and ART1 network models. NEUCOMP2 was developed and run on the SEQUENT Balance 8000 computer system at PARC.

 

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