DocumentCode
1242155
Title
Analog optimization with Wong´s stochastic neural network
Author
Kesidis, George
Author_Institution
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume
6
Issue
1
fYear
1995
fDate
1/1/1995 12:00:00 AM
Firstpage
258
Lastpage
260
Abstract
We describe E. Wong´s stochastic neural network (1989) and show that it can be used, in principle, to perform analog optimization. The optimization dynamics are analogous to those of simulated annealing. To show this, we use the theory developed in Holley and Stroock (1988) for the continuous-time simulated annealing process
Keywords
neural nets; simulated annealing; stochastic systems; analog optimization; continuous-time simulated annealing; stochastic neural network; Boundary conditions; Circuit simulation; Computational modeling; Convergence; Cooling; Differential equations; Neural networks; Simulated annealing; Stochastic processes; White noise;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.363429
Filename
363429
Link To Document