Please use this identifier to cite or link to this item:
http://acervodigital.unesp.br/handle/11449/36159
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Goedtel, A. | - |
dc.contributor.author | da Silva, I. N. | - |
dc.contributor.author | Serni, PJA | - |
dc.contributor.author | ieee | - |
dc.date.accessioned | 2014-05-20T15:25:49Z | - |
dc.date.accessioned | 2016-10-25T18:00:23Z | - |
dc.date.available | 2014-05-20T15:25:49Z | - |
dc.date.available | 2016-10-25T18:00:23Z | - |
dc.date.issued | 2004-01-01 | - |
dc.identifier | http://dx.doi.org/10.1109/IJCNN.2004.1380074 | - |
dc.identifier.citation | 2004 IEEE International Joint Conference on Neural Networks, Vols 1-4, Proceedings. New York: IEEE, p. 1021-1026, 2004. | - |
dc.identifier.issn | 1098-7576 | - |
dc.identifier.uri | http://hdl.handle.net/11449/36159 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/36159 | - |
dc.description.abstract | The multilayer perceptron network has become one of the most used in the solution of a wide variety of problems. The training process is based on the supervised method where the inputs are presented to the neural network and the output is compared with a desired value. However, the algorithm presents convergence problems when the desired output of the network has small slope in the discrete time samples or the output is a quasi-constant value. The proposal of this paper is presenting an alternative approach to solve this convergence problem with a pre-conditioning method of the desired output data set before the training process and a post-conditioning when the generalization results are obtained. Simulations results are presented in order to validate the proposed approach. | en |
dc.format.extent | 1021-1026 | - |
dc.language.iso | eng | - |
dc.publisher | IEEE | - |
dc.source | Web of Science | - |
dc.title | An alternative approach to solve convergence problems in the backpropagation algorithm | en |
dc.type | outro | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.description.affiliation | State Univ São Paulo, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, Brazil | - |
dc.description.affiliationUnesp | State Univ São Paulo, Dept Elect Engn, BR-15385000 Ilha Solteira, SP, Brazil | - |
dc.identifier.doi | 10.1109/IJCNN.2004.1380074 | - |
dc.identifier.wos | WOS:000224941900177 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | 2004 IEEE International Joint Conference on Neural Networks, Vols 1-4, Proceedings | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.