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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In this method, subtractive clustering was adopted to divide the input space into several sub-spaces, and sub-models were built by Least Square SVM (ls SVM) in every sub-space.

该建模方法通过减聚类方法将输入空间划分为一些小的局部空间，在每个局部空间中用最小二乘支持向量机(LS - SVM)建立子模型。

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This paper proposes a noise reduction method to DCSK communications system using weighted least square support vector machine (WLS-SVM).

本文提出了基于加权最小二乘支撑矢量机(WLS - SVM)学习算法的一种DCSK混沌通信系统降噪方法。

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