DocumentCode
288578
Title
Proposal for fuzzy optical adaptive resonance theory implementation
Author
Kane, Jonathan S. ; Bartana, Ido
Author_Institution
Opt. Signal Processing Branch, Hanscom AFB, MA, USA
Volume
3
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
1987
Abstract
Bartana et al. demonstrated a vector matrix-multiplier approach to optoelectronic implementations of ART1 type memories. In this paper we discuss a circuit modification which allows analog values to be processed with essentially the same architecture. The overall design concept is introduced and details are provided as to the specific operation of the associated fuzzy logic MIN circuit
Keywords
ART neural nets; fuzzy neural nets; integrated optoelectronics; multiprocessor interconnection networks; optical neural nets; optical storage; ART1 neural net memories; fuzzy logic MIN circuit; fuzzy optical adaptive resonance theory implementation; optoelectronic implementations; vector matrix-multiplier; Adaptive optics; Circuits; Computer architecture; Correlators; Fuzzy logic; Optical filters; Proposals; Resonance; Subspace constraints; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374466
Filename
374466
Link To Document