Parallel simulation of character recognition problems using NEUCOMP2
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 charact...
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Format: | Article |
Language: | English |
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Gordon and Breach Science Publishers
1996
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Online Access: | http://psasir.upm.edu.my/id/eprint/58450/1/Parallel%20simulation%20of%20character%20recognition%20problems%20using%20NEUCOMP2.pdf |
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author | Evans, David J. Sulaiman, Md. Nasir |
author_facet | Evans, David J. Sulaiman, Md. Nasir |
author_sort | Evans, David J. |
collection | UPM |
description | 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. |
first_indexed | 2024-03-06T09:32:25Z |
format | Article |
id | upm.eprints-58450 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T09:32:25Z |
publishDate | 1996 |
publisher | Gordon and Breach Science Publishers |
record_format | dspace |
spelling | upm.eprints-584502018-01-17T03:30:26Z http://psasir.upm.edu.my/id/eprint/58450/ Parallel simulation of character recognition problems using NEUCOMP2 Evans, David J. Sulaiman, Md. Nasir 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. Gordon and Breach Science Publishers 1996 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/58450/1/Parallel%20simulation%20of%20character%20recognition%20problems%20using%20NEUCOMP2.pdf Evans, David J. and Sulaiman, Md. Nasir (1996) Parallel simulation of character recognition problems using NEUCOMP2. Parallel Algorithms and Applications, 10 (1-2). pp. 49-58. ISSN 1744-5760 http://www.tandfonline.com/doi/abs/10.1080/10637199608915605?journalCode=gpaa19 10.1080/10637199608915605 |
spellingShingle | Evans, David J. Sulaiman, Md. Nasir Parallel simulation of character recognition problems using NEUCOMP2 |
title | Parallel simulation of character recognition problems using NEUCOMP2 |
title_full | Parallel simulation of character recognition problems using NEUCOMP2 |
title_fullStr | Parallel simulation of character recognition problems using NEUCOMP2 |
title_full_unstemmed | Parallel simulation of character recognition problems using NEUCOMP2 |
title_short | Parallel simulation of character recognition problems using NEUCOMP2 |
title_sort | parallel simulation of character recognition problems using neucomp2 |
url | http://psasir.upm.edu.my/id/eprint/58450/1/Parallel%20simulation%20of%20character%20recognition%20problems%20using%20NEUCOMP2.pdf |
work_keys_str_mv | AT evansdavidj parallelsimulationofcharacterrecognitionproblemsusingneucomp2 AT sulaimanmdnasir parallelsimulationofcharacterrecognitionproblemsusingneucomp2 |