DocumentCode
3186199
Title
Modified perceptron algorithm for optical implementation
Author
McAulay, Alastair D. ; Xu, Kin ; Wang, Jiacheng ; Wagoner, Dave
Author_Institution
Wright State Univ., Dayton, OH, USA
fYear
1992
fDate
18-22 May 1992
Firstpage
1130
Abstract
A modified perceptron algorithm for optical learning is introduced and explained. The condition of positive separability is discussed. An optical learning system using a spatial light rebroadcaster is described. Results of optical experiments are shown. A proof that the training can be finished within a finite number of steps is given
Keywords
learning (artificial intelligence); optical neural nets; modified perceptron algorithm; optical experiments; optical learning; positive separability; spatial light rebroadcaster; Artificial neural networks; Biological neural networks; Biomedical optical imaging; Concurrent computing; Electron optics; High speed optical techniques; Optical computing; Optical interconnections; Optical signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0652-X
Type
conf
DOI
10.1109/NAECON.1992.220624
Filename
220624
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