A significant feature selection in the Mahalanobis Taguchi system using modified-bees algorithm
This paper compares the performance of orthogonal array (OA), modified-Bees Algorithm (mBA) and conventional Bees Algorithm (BA) in significant feature selection scheme (optimization) of the Mahalanobis-Taguchi System (MTS) methodology. The main contribution of this work is to address both performan...
Main Authors: | Ramlie, Faizir, Muhamad, W., Jamaludin, Khairur Rijal, Cudney, Elizabeth A., Dollah, R. |
---|---|
Format: | Article |
Published: |
International Research Publication House
2020
|
Subjects: |
Similar Items
-
CHARACTERIZATION OF BEES ALGORITHM INTO THE MAHALANOBIS-TAGUCHI SYSTEM FOR CLASSIFICATION /
by: Faizir Ramlie, 1975-, et al.
Published: (2017) -
Characterization of bees algorithm into the Mahalanobis-Taguchi system for classification
by: Ramlie, Faizir
Published: (2017) -
CHARACTERIZATION OF BEES ALGORITHM INTO THE MAHALANOBIS-TAGUCHI SYSTEM FOR CLASSIFICATION /
by: Faizir Ramlie, 1975-, author, et al.
Published: (2017) -
Classification performance of thresholding methods in the Mahalanobis–Taguchi system
by: Ramlie, Faizir, et al.
Published: (2021) -
Classification Performance of Thresholding Methods in the Mahalanobis–Taguchi System
by: Faizir Ramlie, et al.
Published: (2021-04-01)