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According to the nonlinearity of the industrial process, it is difficult for traditional predictive control algorithm to establish an accurate mathematical model. In the paper, a two-step predictive control algorithm based on the least square support vector machine (LS-SVM) is proposed. In this algorithm, the nonlinear system is turned into linear system by adding the appropriate intermediate variables...
An improved BP neural network classifier integration method was mainly described, by which using k-means clustering a group of value of weights and thresholds with some differences were gotten, and then as the value of individuals of integrated network to improve the performance of integrated learning, and be successfully applied to non-specific human isolated word speech recognition system. By comparing...
Both natural computing and fuzzy method exhibit human-like mental processing. Natural computing is the field of research that works with computational techniques inspired in part by natural systems. Fuzzy method is an alternative to traditional notions of set membership and logic, and it occurs in many applications of engineering, science and medicine. This paper presents a survey of recent advances...
Based on the experimental data obtained from static properties test of magnetically controlled shape memory alloy, using the function of approximation of BP neural networks, the forecasting modelling was established. The experimental data and the forecasting data agreed well and the error was only 0.04%, which indicates that the modelling had good accuracy. The neural networks modelling can avoid...
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