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EnglishThe solution of constrained satisfaction and constrained optimization problems using a Hopfield model requires determination of the values of a certain number of coefficients linked to the surrounding conditions of the problem. It is quite difficult to determine these values, above all because a heuristic search is necessary. This is not only time-consuming, but may lead to solutions that are far from optimal, or even nonvalid ones. So far, there have been no works in literature offering a general method for the search for coefficients which will guarantee optimal or close to optimal solutions. This paper proposes a fuzzy approach which allows automatic determination of Hopfield coefficients.
| Titolo: | Solving constraint satisfaction and optimization problems by a neuro-fuzzy approach |
| Autori interni: | |
| Data di pubblicazione: | 1999 |
| Rivista: | |
| Handle: | http://hdl.handle.net/20.500.11769/242 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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http://hdl.handle.net/20.500.11769/242
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