Citation
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
Abstract
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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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| DOI Number: | https://doi.org/10.1080/10637199608915605 |
| Publisher: | Gordon and Breach Science Publishers |
| Keywords: | Neural network compiler; NEUCOMP2; A shared-memory parallel machine; General purpose simulation tool; Backpropagation; Kohonen; Counterpropagation; ART1 networks; SEQUENT Balance 8000 |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 17 Jan 2018 03:30 |
| Last Modified: | 17 Jan 2018 03:30 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/10637199608915605 |
| URI: | http://psasir.upm.edu.my/id/eprint/58450 |
| Statistic Details: | View Download Statistic |
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