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An Improved least squares support vector machine (LS-SVM) algorithm is proposed for 24 points electric load forecasting. First of all, facing with the problem how to choose the optimal LS-SVM algorithm parameters, an improved LS-SVM algorithm based on chaos optimization is put forward to obtain the optimal LS-SVM algorithm parameters and corresponding model parameters. Then, a method of 24 points...
Bath temperature and alumina concentration are two important but hard to measure online parameters of aluminum reduction cell. To this problem, a novel method based on least squares support vector machine (LS-SVM) and chaos optimization is proposed to establish predictive models of the two parameters. This method employs chaos optimization technique to iterate and search in feasible regions so as...
Aimed at nonlinear MIMO system, a model predictive control (MPC) strategy based on least squares support vector machine (LSSVM) and mutative scale chaos optimization is proposed. Existent method doesn’t consider the constrain of control law and results in some meaningless solution. So the proposed method utilizes mutative scale chaos optimization technique to search control law in the feasible interval...
In the analysis of predicting share price based on least squares support vector machine (LS-SVM), the instability of the time series could lead to decrease of prediction accuracy. On the other hand, three SVM parameters, c, epsiv and sigma, must be carefully predetermined in establishing an efficient LS-SVM model. In order to solve the problems mentioned above, in this paper, the hybrid of wavelet...
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