ANALOG OPTIMIZATION WITH WONGS STOCHASTIC NEURAL-NETWORK

Authors
KESIDIS G
Citation
G. Kesidis, ANALOG OPTIMIZATION WITH WONGS STOCHASTIC NEURAL-NETWORK, IEEE transactions on neural networks, 6(1), 1995, pp. 258-260
Citations number
9
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
6
Issue
1
Year of publication
1995
Pages
258 - 260
Database
ISI
SICI code
1045-9227(1995)6:1<258:AOWWSN>2.0.ZU;2-X
Abstract
We describe E. Wong's stochastic neural network and show that it can b e 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 [5] for the continu ous-time simulated annealing process.