Markovian neural networks
Copyright policy )Markovian neural networks
The neural network that efficiently and nearly optimally solves difficult optimization problems is defined. The convergence proof for the Markovian neural network that asynchronously updates its neurons' states is also presented. The comparison of the performance of the Markovian neural network with various combinatorial optimization methods in two domains is described. The Markovian neural network is shown to be an efficient tool for solving optimization problems.
Neurons, Combinatorial optimization, neural network, Computational methods for problems pertaining to operations research and mathematical programming, Models, Neurological, Humans, Neural networks for/in biological studies, artificial life and related topics, Cybernetics, Mathematics, Problem Solving
Neurons, Combinatorial optimization, neural network, Computational methods for problems pertaining to operations research and mathematical programming, Models, Neurological, Humans, Neural networks for/in biological studies, artificial life and related topics, Cybernetics, Mathematics, Problem Solving
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