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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Insight Society
2017
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |