| CPSO支持向量机红外瓦斯传感器动态补偿 |
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| 引用本文： | 柴文光.CPSO支持向量机红外瓦斯传感器动态补偿[J].华侨大学学报(自然科学版),2016,0(3):316-319. |
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| 作者姓名： | 柴文光 |
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| 作者单位： | 广东工业大学 计算机学院, 广东 广州 510006 |
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| 摘 要： | 利用混沌算法变异粒子群算法初始迭代公式,改变线性权重公式,构成混沌粒子群算法.添加混沌遍历性扰动因子,感知非相关变量,从而改进最小二乘支持向量的惩罚因子,并搭建红外瓦斯传感器动态补偿模型.对比没有进行模型优化的测试效果,结果表明,文中补偿模型实际拟合效果好,测量精度明显得到改善.
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| 关 键 词： | 红外瓦斯传感器 动态补偿 粒子群 最小二乘支持向量机 惩罚因子 |
CPSO Support Vector Machine Based Infrared Gas Sensor Dynamic Compensation |
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| CHAI Wenguang.CPSO Support Vector Machine Based Infrared Gas Sensor Dynamic Compensation[J].Journal of Huaqiao University(Natural Science),2016,0(3):316-319. |
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| Authors: | CHAI Wenguang |
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| Institution: | Scool of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, China |
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| Abstract: | Use chaos mutation particle swarm optimization algorithm(CPSO)in the initial iteration formula for promoting the linear weighting formula, add disturbance factor and ergodicity of chaos and the awareness of relevant variables. Thus, the least squares support vector punishment factor and was improved the infrared gas sensor dynamic compensation model was established. By comparing to non-optimization model, results showed that the compensation model had a actual fitting effect and improved measurement accuracy. |
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| Keywords: | infrared gas sensor dynamic compensation particle swarm least squares support vector machine penalty factor |
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