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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...
Aiming at improving the accuracy and speed of short-term load forecasting (STLF), the proposed BCC-LS-SVM model is presented, among which bacterial colony chemotaxis (BCC) optimization algorithm is used to determine hyper-parameters of least squares support vector machine (LS-SVM). BCC is a novel category of bionic algorithm, which takes advantage of the bacterium's reaction to chemoattractants to...
LS-SVM(least squares support vector machine) has been widely used in engineering practice. However, the solving of LS-SVM still remains difficult under the condition of large sample. Based on algorithm of combinatorial optimization, this paper put forward the combinatorial optimization least squares support vector machine algorithm. On several different data aggregation of dimensions, the numerical...
Aiming at improving the accuracy and speed of short-term load forecasting (STLF), the proposed BCC-LS-SVM model is presented, among which bacterial colony chemotaxis (BCC) optimization algorithm is used to determine hyper-parameters of least squares support vector machine (LS-SVM). BCC is a novel category of bionic algorithm, which takes advantage of the bacterium's reaction to chemoattractants to...
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...
Analyzing the characteristics of wood biomass gasification process comprehensively and considering the impact of gasification temperature as well as the amount of catalyst on gasification gas components, gas yield, gas production rate, the calorific value and gasification efficiency, sawdust gasification process model based on LSSVM (least squares support vector machine) was set up. Based on this...
A identification method for Hammerstein-Wiener model using least squares support vector machine is proposed. With the solving idea of least squares support vector machine, the identification problem of Hammerstein-Wiener model is converted to the constrained optimization problem by adding constraint so that the parameters of Hammerstein-Wiener model are identified and the computing efficiency of Hammerstein-Wiener...
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