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首页> 外文期刊>Journal of industrial and management optimization >SOLVING HIGHER ORDER NONLINEAR ORDINARY DIFFERENTIAL EQUATIONS WITH LEAST SQUARES SUPPORT VECTOR MACHINES
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SOLVING HIGHER ORDER NONLINEAR ORDINARY DIFFERENTIAL EQUATIONS WITH LEAST SQUARES SUPPORT VECTOR MACHINES

机译:用最小二乘支持向量机求解高阶非线性常微分方程

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摘要

In this paper, a numerical method based on least squares support vector machines has been developed to solve the initial and boundary value problems of higher order nonlinear ordinary differential equations. The numerical experiments have been performed on some nonlinear ordinary differential equations to validate the accuracy and reliability of our proposed LS-SVM model. Compared with the exact solution, the results obtained by our proposed LS-SVM model can achieve a very high accuracy. The proposed LS-SVM model could be a good tool for solving higher order nonlinear ordinary differential equations.
机译:本文已经开发了一种基于最小二乘支持向量机的数值方法来解决高阶非线性常微分方程的初始和边值问题。已经对一些非线性常微分方程进行了数值实验,以验证我们提出的LS-SVM模型的准确性和可靠性。与确切的解决方案相比,我们提出的LS-SVM模型获得的结果可以达到非常高的精度。所提出的LS-SVM模型可以是解决高阶非线性常微分方程的良好工具。

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