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Hopfield neural networks for state estimation: parameters, efficient implementation and results

✍ Scribed by F. García-Lagos; G. Joya; F. J. Marín; F. Sandoval


Book ID
105718988
Publisher
Springer
Year
2000
Tongue
English
Weight
392 KB
Volume
117
Category
Article
ISSN
0932-383X

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## Abstract When solving optimization problems on Hopfield neural networks, good solutions are not obtained due to convergence to local minima of the energy function. The Boltzmann machine can escape from local minima because of its stochastic behavior, but the computation time is very long to reac