In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
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