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首页> 外文期刊>Journal of control science and engineering >Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator
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Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator

机译:回归最小二乘支持向量机在液压挖掘机性能预测中的应用研究

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摘要

In order to improve the performance prediction accuracy of hydraulic excavator, the regression least squares support vector machine is applied. First, the mathematical model of the regression least squares support vector machine is studied, and then the algorithm of the regression least squares support vector machine is designed. Finally, the performance prediction simulation of hydraulic excavator based on regression least squares support vector machine is carried out, and simulation results show that this method can predict the performance changing rules of hydraulic excavator correctly.
机译:为了提高液压挖掘机的性能预测精度,应用了回归最小二乘支持向量机。首先,研究了回归最小二乘支持向量机的数学模型,然后设计了回归最小二乘支持向量机的算法。最后,基于回归最小二乘支持向量机对液压挖掘机的性能进行了预测仿真,仿真结果表明,该方法可以正确预测液压挖掘机的性能变化规律。

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