Title :
Analog optimization with Wong´s stochastic neural network
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
fDate :
1/1/1995 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
