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    A model validation scale based on multiple indices

    Ferreira, Danton Diego and Nepomuceno, Erivelton and Cerqueira, Augusto Santiago and Mendes, Thais Martins (2017) A model validation scale based on multiple indices. Electrical Engineering, 99 (1). pp. 325-334. ISSN 0948-7921

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    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.

    Item Type: Article
    Keywords: Coherence; Higher order statistics; Model validation; Fourth-order cross-cumulant; NRMSE;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 16823
    Identification Number:
    Depositing User: Erivelton Nepomuceno
    Date Deposited: 09 Jan 2023 15:54
    Journal or Publication Title: Electrical Engineering
    Publisher: Springer
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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