An Intelligent Feature Selection and Classification Method Based on Hybrid ABC–SVM Cover

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An Intelligent Feature Selection and Classification Method Based on Hybrid ABC–SVM

International Journal on Smart Sensing and Intelligent Systems

Volume 9 (2016): Issue 4 (January 2016)

By: Jie Li, Qiuwen Zhang, Zhang Yongzhi, Li Chang and Xiao Jian

Open Access

|Dec 2016

Authors

Jie Li

Lijie_linda@126.com

School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, China

Qiuwen Zhang

qwzhang@hust.edu.cn

Zhang Yongzhi

PowerChina Hubei Electric Engineering Corporation, Wuhan, China

Li Chang

Bureau of Science and Technology of Changsha Municipality, Changsha, China

Xiao Jian

State Grid Hunan Electric Power Corporation Research Institute, Changsha, China

DOI: https://doi.org/10.21307/ijssis-2017-943 | Journal eISSN: 1178-5608

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Language: English

Page range: 1859 - 1876

Submitted on: Jul 17, 2016

|

Accepted on: Oct 16, 2016

|

Published on: Dec 1, 2016

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Hybrid Artificial Bee Colony,

Pattern classification,

Feature Selection,

Parameter Optimization

Related subjects:

Introductions and overviews,

Engineering, other

© 2016 Jie Li, Qiuwen Zhang, Zhang Yongzhi, Li Chang, Xiao Jian, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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