In this work, a hybrid approach based on the Support Vector machines (SVM) and genetic algorithms (GA) is developed. The SVM are learning machines that can perform binary classification and real value function approximation (regression estimation) tasks. This tool of the artificial intelligence founded on the theory of the statistical learning was selected for its great capacity of training and generalization.
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Control and modeling of wind turbines using genetic algorithms and support vector machines for regression
Control and modeling of wind turbines using genetic algorithms and support vector machines for regression
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International Journal of Computer Networks and Communications Security Control and modeling of wind turbines Genetic algorithms and support vector machines for regression Support vector machines Real value function approximationTài liệu có liên quan:
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