e-journal

A model validation scale based on multiple indices

---

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.

Keywords Coherence · Higher order statistics · Model validation · Fourth-order cross-cumulant · NRMSE

---

Ketersediaan

Tidak ada salinan data

Informasi Detail

Judul Seri

-

No. Panggil

-

Penerbit

: Springer Berlin Heidelberg., 2017

Deskripsi Fisik

Electrical Engineering Volume 99, Issue 1, March 2017

Bahasa

English

ISBN/ISSN

1432-0487

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

Volume 99, Issue 1, March 2017

Subjek

TEKNIK ELEKTRO
ELECTRICAL ENGINEERING

Info Detail Spesifik

-

Pernyataan Tanggungjawab

ety

Versi lain/terkait

Lampiran Berkas

Komentar

---

Anda harus masuk sebelum memberikan komentar