DocumentCode
2637181
Title
Analog maximum neural network circuits using the switched capacitor technique
Author
CHO, Yong Beom ; Lee, Kuo Chun ; Takefuji, Yoshiyasu ; Funabiki, Nobuo
Author_Institution
Dept. of Electr. Eng. & Appl. Phys., Case Western Reserve Univ., Cleveland, OH, USA
fYear
1991
fDate
18-21 Nov 1991
Firstpage
1906
Abstract
The circuit of the maximum neural network based on the switched capacitor technique is proposed. The performance of the proposed circuit was derived from SPICE simulation. The bipartite subgraph problem is solved by using the proposed circuit. The SPICE simulation result confirms the function of the network. Because the complexity of the proposed analog circuit is so small, it is possible to fabricate an optimization system in a single chip
Keywords
analogue circuits; neural nets; switched capacitor networks; SPICE simulation; analog circuit; bipartite subgraph; maximum neural network; optimization; switched capacitor technique; Artificial neural networks; Circuit simulation; Minimization; Neural networks; Neurons; Physics; SPICE; Switched capacitor circuits; Switched capacitor networks; Switching circuits;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN
0-7803-0227-3
Type
conf
DOI
10.1109/IJCNN.1991.170652
Filename
170652
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