| 基于免疫优化多输出最小二乘支持向量机及其应用* |
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| 引用本文： | 叶洪涛,罗飞.基于免疫优化多输出最小二乘支持向量机及其应用*[J].计算机应用研究,2010,27(6):2065-2067. |
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| 作者姓名： | 叶洪涛 罗飞 |
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| 作者单位： | 1. 广西工学院,电子信息与控制工程系,广西,柳州,545006;华南理工大学,自动化科学与工程学院,广州,510641
2. 华南理工大学,自动化科学与工程学院,广州,510641 |
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| 基金项目： | 广西工学院硕士科研基金资助项目（500537）；国家自然科学基金资助项目（60774032） |
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| 摘 要： | 传统的支持向量机是一种两类问题的判别方法, 不能直接应用于多类分类问题。为了解决这个问题，提出了一种免疫优化多输出最小二乘支持向量机方法。该方法利用免疫算法来优化最小二乘支持向量机的参数。将该方法应用于污水生化处理过程建模及语音情感识别，仿真结果表明,该方法具有更高的精度。
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| 关 键 词： | 免疫优化 最小二乘支持向量机 污水生化处理 语音情感识别 |
Multi-output least squares support vector machine based on immune optimization and its applications |
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| YE Hong-tao,LUO Fei.Multi-output least squares support vector machine based on immune optimization and its applications[J].Application Research of Computers,2010,27(6):2065-2067. |
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| Authors: | YE Hong-tao LUO Fei |
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| Affiliation: | 1. Dept. of Electronic Information & Control Engineering/a>;Guangxi University of Technology/a>;Liuzhou Guangxi 545006/a>;China/a>;2. School of Automation Science & Engineering/a>;South China University of Technology/a>;Guangzhou 510641/a>;China |
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| Abstract: | The traditional support vector machine is used for the binary-class classification. It can not deal with multi-class classification directly. In order to solve the problem, proposed a method of multi-output least squares support vector machine (LS-SVM) based on immune optimization. Used the immune algorithm to optimize the parameters of LS-SVM. This method has been applied to modeling of biological wastewater treatment processes and speech emotion recognition. The results show this method has higher accuracy. |
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| Keywords: | immune optimization least squares support vector machine(LS-SVM) biological wastewater treatment speech emotion recognition |
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