Binary particle swarm optimization for variables selection optimization in Taguchi’s T-Method
Prediction analysis has drawn significant interest in numerous fields Taguchi’s T-Method is a prediction tool that was practically developed to predict even with a limited sample data. It was developed explicitly for multivariate system prediction by relying on historical data as the baseline model...
Saved in:
Main Authors: | Harudin, N., Jamaludin, K. R., Ramlie, F., Muhtazaruddin, M. N., Che Razali, Che Munira, Muhamad, W. Z. A. W. |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/85556/1/CheMuniraCheRazali2020_BinaryParticleSwarmOptimizationforVariables.pdf http://eprints.utm.my/id/eprint/85556/ https://dx.doi.org/10.11113/matematika.v36.n1.1181 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Binary particle swarm optimization for variables selection optimization Taguchi's T method
by: Harudin, N., et al.
Published: (2020) -
Hybrid bootstrap-based approach with binary artificial bee colony and particle swarm optimization in Taguchi's T-Method
by: Harudin, Nolia
Published: (2020) -
Binary Bitwise Artificial Bee Colony as Feature Selection Optimization Approach within Taguchi's T-Method
by: Harudin N., et al.
Published: (2023) -
Binary bitwise artificial bee colony as feature selection optimization approach within Taguchi’s T-method
by: Nolia, Harudin, et al.
Published: (2021) -
Binary bitwise artificial bee colony as feature selection optimization approach within taguchi's t-method
by: Nolia, Harudin, et al.
Published: (2021)