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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...
Forecasting weapon system cost accurately has great meaning in determining weapons' appropriate price, reducing the cost risk and raising the efficiency of equipment expense utilization. The least squares support vector machine (LSSVM) was applied to forecast weapon system cost, and the chaos optimization algorithm, which is regarded as a good optimization method, was used to optimize the penalty...
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