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
Link To Document :
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