Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton-Reference-Cited by-同舟云学术

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Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton

Published:2014-11 Issue: Volume:24 Page:585-596
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhao Xuehua,Li Daoliang,Yang Bo,Ma Chao,Zhu Yungang,Chen Huiling

Funder

National Natural Science Foundation of China

New Century High-quality Talents Program of Chinese Ministry of Education

Guangdong Natural Science Foundation

Publisher

Elsevier BV

Subject

Software

Reference23 articles.

1. Classification of foreign fibers in cotton lint using machine vision and multi-class support vector machine;Li;Comput. Electron. Agric.,2010

2. Classification and identification of foreign fibers in cotton on the basis of a support vector machine;Ji;Math. Comput. Model.,2010

3. Fast recognition of foreign fibers in cotton lint using machine vision;Yang;Math. Comput. Model.,2011

4. A framework for cost-based feature selection;Bolon-Canedo;Pattern Recogn.,2014

5. An improved genetic algorithm for optimal feature subset selection from multi-character feature set;Yang;Expert Syst. Appl.,2011

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