The performance of Binary Artificial Bee Colony (BABC) in structure selection of polynomial NARX and NARMAX Models

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The performance of Binary Artificial Bee Colony (BABC) in structure selection of polynomial NARX and NARMAX Models

This paper explores the capability of the Binary Artificial Bee Colony (BABC) algorithm for feature selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) model, and compares its implementation with the Binary Particle Swarm Optimization (BPSO) algorithm. A binarized mod...

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Bibliographic Details
Published in:	International Journal on Advanced Science, Engineering and Information Technology
Main Author:	Zabidi A.; Tahir N.M.; Yassin I.M.; Rizman Z.I.
Format:	Article
Language:	English
Published:	Insight Society 2017
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018508720&doi=10.18517%2fijaseit.7.2.1387&partnerID=40&md5=0dc859e5659cf7a0e3253d12a13fcc16

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