Design of multi-sorts classifier based on general ant colony optimization

2011 9th World Congress on Intelligent Control and Automation Pub Date : 2011-06-21 DOI:10.1109/WCICA.2011.5970538

Ying Zhang, Xue-Bo Chen, Chen Chu

引用次数: 0

Abstract

On the base of General Ant Colony Optimization, this paper proposed a new design method for multi-sorts classifier for the sorts being known. This approach is optimal compared with other methods, and its recognition rate is high and can be used widely in practice.

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基于一般蚁群优化的多分类器设计

在通用蚁群算法的基础上，提出了一种针对已知分类的多分类器设计新方法。与其他方法相比，该方法是最优的，识别率高，可广泛应用于实践。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 9th World Congress on Intelligent Control and Automation

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