A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.

提出了一种最小二乘支持向量机的电池剩余电量预测新模型。

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On the basis of mathematical description for least square (LS) estimation, an iterative equation for LS state estimation is established.

在对最小二乘（LS）估计进行数学描述的基础上，建立了一种LS状态估计的迭代方程。

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The least square algorithm using forward and backward linear prediction (LS algorithm) for the autoregressive spectral estimates of the SMMW Fourier transform spectroscopy data is presented.

本文介绍自回归谱分析法的另一种算法—前后向最小二乘法(LS算法)在亚毫米波付里叶变换谱中的应用。

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