2014
DOI: 10.1007/s10559-014-9589-5
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Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects

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Cited by 4 publications
(5 citation statements)
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“…The practical application of the considered functionals for solving the identification problem was considered in many works. In particular, in [21][22][23][24] the robust approach was applied to the identification of nonlinear systems. For this purpose, radial basis function networks [21,22], evolving networks [23], and evolving radial basis function networks [24] were used.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…The practical application of the considered functionals for solving the identification problem was considered in many works. In particular, in [21][22][23][24] the robust approach was applied to the identification of nonlinear systems. For this purpose, radial basis function networks [21,22], evolving networks [23], and evolving radial basis function networks [24] were used.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…In particular, in [21][22][23][24] the robust approach was applied to the identification of nonlinear systems. For this purpose, radial basis function networks [21,22], evolving networks [23], and evolving radial basis function networks [24] were used. Learning of these networks was carried out on the basis of minimizing the robust functionals considered above.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Although there are some recommendations for choosing these parameters, in most cases they are chosen based on the experience of the researcher [9]. Some practical recommendations have been developed in [10][11][12] for the choice of functional parameters for robust neural network training. The more common problem of robust estimation in the presence of interference with asymmetrical distributions was investigated in [13].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Many of the tasks related to information processing (identification, management, forecasting, classification, filtering, etc.) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] are reduced to constructing and analyzing a model in the following form…”
Section: Introductionmentioning
confidence: 99%
“…In most cases, however, they are selected based on the experience of the researcher [9]. The task of robust neural network training based on the functionals [6,7] by Huber and Hempel is considered in [10][11][12]; some practical recommendations on the choice of the functionals' parameters are devised. A more general issue of robust assessment in the presence of interference with asymmetrical distributions was investigated in [13].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%