| dc.contributor | Universidade Estadual Paulista (UNESP) | |
| dc.creator | da Silva, I. N. | |
| dc.creator | Amaral, W. C. | |
| dc.creator | Arruda, L. V. R. | |
| dc.date | 2014-05-20T15:28:36Z | |
| dc.date | 2016-10-25T18:03:42Z | |
| dc.date | 2014-05-20T15:28:36Z | |
| dc.date | 2016-10-25T18:03:42Z | |
| dc.date | 2006-03-01 | |
| dc.date.accessioned | 2017-04-06T00:08:01Z | |
| dc.date.available | 2017-04-06T00:08:01Z | |
| dc.identifier | Journal of Optimization Theory and Applications. New York: Springer/plenum Publishers, v. 128, n. 3, p. 563-580, 2006. | |
| dc.identifier | 0022-3239 | |
| dc.identifier | http://hdl.handle.net/11449/38376 | |
| dc.identifier | http://acervodigital.unesp.br/handle/11449/38376 | |
| dc.identifier | 10.1007/s10957-006-9032-9 | |
| dc.identifier | WOS:000241554100005 | |
| dc.identifier | http://dx.doi.org/10.1007/s10957-006-9032-9 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/881503 | |
| dc.description | Neural networks consist of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent neural net-works that can be used to solve several classes of optimization problems. More specifically, a modified Hopfield network is developed and its inter-nal parameters are computed explicitly using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points, which represent a solution of the problem considered. The problems that can be treated by the proposed approach include combinatorial optimiza-tion problems, dynamic programming problems, and nonlinear optimization problems. | |
| dc.language | eng | |
| dc.publisher | Springer | |
| dc.relation | Journal of Optimization Theory and Applications | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | recurrent neural networks | |
| dc.subject | nonlinear optimization | |
| dc.subject | dynamic programming | |
| dc.subject | combinatorial optimization | |
| dc.subject | Hopfield network | |
| dc.title | Neural approach for solving several types of optimization problems | |
| dc.type | Otro | |
