DocumentCode :
2985531
Title :
Optical neural network for engineering design
Author :
McAulay, Alastair D.
Author_Institution :
Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA
fYear :
1988
fDate :
23-27 May 1988
Firstpage :
1302
Abstract :
An optical neural-network architecture is proposed that captures engineering design expertise and makes it available to designers. The network and its use as an associative memory are described. A novel fast learning algorithm is shown to be orders-of-magnitude faster than backpropagation. Reasons are presented for the feasibility of an optical implementation that uses novel optical devices. A structural example illustrates how engineering design expertise is captured and recovered from the network
Keywords :
CAD; design engineering; expert systems; neural nets; associative memory; engineering design; fast learning algorithm; optical devices; optical neural-network architecture; Associative memory; Backpropagation algorithms; Design engineering; Expert systems; Humans; Neural networks; Optical computing; Optical design; Optical devices; Optical fiber networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
Conference_Location :
Dayton, OH
Type :
conf
DOI :
10.1109/NAECON.1988.195173
Filename :
195173
Link To Document :
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