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
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;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170652
