Formulating new enhanced pattern classification algorithms based on ACO-SVM
This paper presents two algorithms that integrate new Ant Colony Optimization (ACO) variants which are Incremental Continuous Ant Colony Optimization (IACOR) and Incremental Mixed Variable Ant Colony Optimization (IACOMV) with Support Vector Machine (SVM) to enhance the performance of SVM.The fi...
Saved in:
Main Authors: | Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana |
---|---|
Format: | Article |
Language: | English |
Published: |
North Atlantic University Union NAUN
2013
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/9845/1/p.pdf http://repo.uum.edu.my/9845/ http://www.scimagojr.com/journalsearch.php?q=18100156703&tip=sid&clean=0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid ACO and SVM algorithm for pattern classification
by: Alwan, Hiba Basim
Published: (2013) -
Solving SVM model selection problem using ACOR and IACOR
by: Alwan, Hiba Basim, et al.
Published: (2013) -
Integrated ACOR/IACOMV-R-SVM Algorithm
by: Alwan, Hiba Basim, et al.
Published: (2017) -
Mixed-variable ant colony optimisation algorithm for feature subset selection and tuning support vector machine parameter
by: Alwan, Hiba Basim, et al.
Published: (2017) -
Feature selection and model selection algorithm using incremental mixed variable ant colony optimization for support vector machine classifier
by: Alwan, Hiba Basim, et al.
Published: (2013)