DocumentCode
2828966
Title
A neural network using oscillators
Author
Endo, Tetsuro ; Chua, L.O. ; Takeyama, Kazuhiro
Author_Institution
Dept. of Electr. Eng., Nat. Defense Acad., Yokosuka, Japan
fYear
1991
fDate
11-14 Jun 1991
Firstpage
782
Abstract
The authors propose the oscillator neural network, in which the sigmoid nonlinearity of the Hopfield neural network is replaced by the Van der Pol oscillator. The oscillator neural network has the advantage that no simulated annealing is necessary to obtain a reasonable solution. They demonstrate that the 4-b analog to digital (A/D) converter problem, the 10-city traveling salesman problem and the associative memory problem, can be solved by the proposed neural network
Keywords
analogue-digital conversion; content-addressable storage; neural nets; nonlinear network synthesis; relaxation oscillators; 10-city traveling salesman problem; 4 bit; A/D converter; Hopfield neural network; Van der Pol oscillator; associative memory problem; oscillator neural network; Associative memory; Circuit simulation; Electronic circuits; High level synthesis; Hopfield neural networks; Large-scale systems; Neural networks; Oscillators; Simulated annealing; Traveling salesman problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176479
Filename
176479
Link To Document