DocumentCode
305296
Title
Backpropagation learning using positive weights for multilayer optoelectronic neural networks
Author
Bradley, W.M.D. ; Mears, R.J.
Author_Institution
Dept. of Eng., Cambridge Univ., UK
Volume
1
fYear
1996
fDate
18-21 Nov. 1996
Firstpage
294
Abstract
The use of inhibitory neurons, together with a modified learning algorithm, allows error backpropagation learning that competes with standard momentum-aided backpropagation using positive weights only. A multilayer optoelectronic architecture with in situ learning is proposed.
Keywords
backpropagation; multilayer perceptrons; optical neural nets; parallel algorithms; parallel architectures; backpropagation learning; error backpropagation learning; in situ learning; inhibitory neurons; modified learning algorithm; momentum-aided backpropagation; multilayer optoelectronic architecture; multilayer optoelectronic neural networks; positive weights; Backpropagation algorithms; Multi-layer neural network; Neural networks; Neurons; Optical computing; Optical fiber networks; Optical network units; Optical saturation; Smart pixels; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Lasers and Electro-Optics Society Annual Meeting, 1996. LEOS 96., IEEE
Conference_Location
Boston, MA, USA
Print_ISBN
0-7803-3160-5
Type
conf
DOI
10.1109/LEOS.1996.565248
Filename
565248
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