Analog Optimization with Wong's Stochastic Neural Network

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We describe E. Wong's stochastic neural network 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 [5] for the continuous-time simulated annealing process.

Original languageEnglish (US)
Pages (from-to)258-260
Number of pages3
JournalIEEE Transactions on Neural Networks
Issue number1
StatePublished - Jan 1995

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence


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