| 基于粒子群优化算法的直线拟合及应用 |
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| 引用本文： | 王江荣.基于粒子群优化算法的直线拟合及应用[J].工业仪表与自动化装置,2013(4):73-75. |
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| 作者姓名： | 王江荣 |
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| 作者单位： | 兰州石化职业技术学院信息处理与控制工程系,兰州730060 |
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| 基金项目： | 甘肃省教育厅科研资助项目（00330715-01） |
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| 摘 要： | 将粒子群优化算法和传统最小二乘法相结合,采用残差平方和准则、绝对残差绝对值和准则、相对残差绝对值和准则建立了一种基于粒子群优化算法的直线拟合方法,获得了比传统最小二乘法拟合要好得多的估计结果,实验证明了该方法的有效性及高精度性。
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| 关 键 词： | 最小二乘法 直线拟合 PSO算法 准则 |
Straight line fitting based on particle swarm optimization algorithm and application |
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| WANG Jiangrong.Straight line fitting based on particle swarm optimization algorithm and application[J].Industrial Instrumentation & Automation,2013(4):73-75. |
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| Authors: | WANG Jiangrong |
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| Affiliation: | WANG Jiangrong (Information Processing and Control Engineering, Lanzhou Petrochemical College of Vocational Technology, Lanzhou 730060, China) |
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| Abstract: | Particle swarm optimization algorithm and the traditional least squares method, using the residual sum of squares criteria, the absolute residual absolute and guidelines, absolute relative residuals and guidelines established based on particle swarm optimization algorithm linear fitting method the esti- mated results are much better than the traditional method of least squares fitting, the experiment proved the effectiveness of the method and the high accuracy. |
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| Keywords: | method of least squares fitting a straight line PSO algorithm guidelines |
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