Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/29672
Título : A model validation scale based on multiple indices
Autor: Ferreira, Danton Diego
Nepomuceno, Erivelton Geraldo
Cerqueira, Augusto Santiago
Mendes, Thais Martins
Palavras-chave: Higher order statistics
Fourth-order cross-cumulant
Normalized root mean square error
Estatísticas de ordem superior
Cumulativo cruzado de quarta ordem
Erro de raiz quadrada normalizada
Publicador: Springer
Data da publicação: Mar-2017
Referência: FERREIRA, D. D. et al. A model validation scale based on multiple indices. Electrical Engineering, New York, v. 99, n. 1, p. 325-334, Mar. 2017.
Abstract: Validation of an estimated model is not a trivial task because it depends on the purpose of the model, which usually defines the most important features of the model. Thus, in a validation process, the use of diverse tools that exploit different domains is recommended. Here, with this aim, a scale for model validation is proposed that combines the Normalized Root Mean Square Error (NRMSE) with two new indices: the coherence-based index and the fourth-order cross-cumulant index. The proposed scale was used for the validation of three models: the Logistic Map, the Duffing–Ueda oscillator, and the Buck converter. The results demonstrated that the proposed model validation scale produces a more complete validation process that takes into account both time and frequency information and provides robustness against Gaussian noise.
URI: https://link.springer.com/article/10.1007/s00202-016-0430-1
http://repositorio.ufla.br/jspui/handle/1/29672
Idioma: en_US
Aparece nas coleções:DEG - Artigos publicados em periódicos

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