...ng变换中的端点效应，利用基于遗传算法（Genetic Algorithm，GA）的最小二乘支持向量机（Least Square Support Vector Machine，LSSVM）数据延拓方法对信号及其各内禀模态函数（Intrinsic Mode Function，IMF）分量进..
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提出一种基于相空间重构的最小二乘支持向量机(LS - SVM)的股票价格预测方法。
A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines (LS-SVM).
本文提出了基于时间窗的最小二乘支持向量机t - S模型在线辨识算法，包括结构辨识和参数辨识。
In the paper online identification based on time window and least square support vector machine (LSSVM) for T-S model is proposed, including structure and parameter identification.
对不同频带的平稳分量建立相应的最小二乘支持向量机预测模型，将各模型的预测值等权求和得到最终预测值。
The different least square support vector machine (LS-SVM) models to forecast each IMF are built up. These forecasting results of each IMF are combined to obtain the final forecasting result.
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