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Multivariate time series (MTS) exist in many applications. Due to all kinds of interference factors, missing data in MTS is inevitable. Aiming at this problem, a filling method based on least squares support vector machine (LSSVM) is proposed. Firstly, for the series containing missing data, similar series are searched, and its results are viewed as the training set. Secondly, to make use of the correlation...
In order to determine the 3D motion of a point target from a monocular moving camera, a locating method is proposed by taking advantage of the property that the positions of the target in a short time are relative to each other and the kernel trick of least squares support vector machine (LS-SVM). This method has better noise immunity due to its robust estimation property, and has high accuracy as...
The paper presents nonlinear modeling study of belt conveyor system using the least square support vector machine (LS-SVM). Belt conveyor is a nonlinear, severe disturbance and time-varying system. So far, most of the existing models are based on mechanism laws, which are very useful for belt conveyor design. However, they are too complicated to be applied to control system design. To facilitate a...
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