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Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
Water level is an important index to ensure the safety and stable operation of the ship boiler. Because of the nonlinear and time lag of the water level system, normal PID control can't obtain the satisfactory effect. So the improved neural network predictive control based on support vector machine (SVM) was presented. This method used SVM to identify the predictive model of the system, and used BP...
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