Transputer based back-propagation neural net emulation system
A transputer based back-propagation neural net emulation system is presented. The authors propose one mapping approach for mesh architecture. The major challenge of this research work is to map the back-propagation neural net model onto transputer arrays for mesh architecture. The OCCAM parallel pro...
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Published in | 1990 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 1879 - 1882 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1990
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Subjects | |
Online Access | Get full text |
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Summary: | A transputer based back-propagation neural net emulation system is presented. The authors propose one mapping approach for mesh architecture. The major challenge of this research work is to map the back-propagation neural net model onto transputer arrays for mesh architecture. The OCCAM parallel programming language is used for programming the operations of these transputers. Using this transputer based emulation system, a test case for Mandarin (Chinese voice) speech zero to nine recognition is implemented, and encouraging results, i.e. the recognition rate of inside test 99% and outside test 96%, have been obtained.< > |
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DOI: | 10.1109/ISCAS.1990.112044 |