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