Title :
Transputer based back-propagation neural net emulation system
Author :
Jou, I-Chang ; Tsai, Yung-Chang
Author_Institution :
Minist. of Commun., Chung-Li, Taiwan
Abstract :
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
Keywords :
computerised pattern recognition; neural nets; parallel algorithms; parallel architectures; speech recognition; transputers; Chinese voice; Mandarin speech recognition; OCCAM; back-propagation; mapping approach; mesh architecture; neural net emulation system; parallel programming language; transputer arrays; transputer based emulation system; Artificial neural networks; Emulation; Natural languages; Neural networks; Neurons; Parallel processing; Parallel programming; Speech recognition; Switches; System testing;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112044
