Application of oxygen content based on RBF neural network
In order to solve some problems about the use of oxygen content measuring instrument in fossil-fuel power station,a soft sensing model based on radial basis function neural network is proposed.The results show that the soft-sensing model has high precision and dynamic response speed,and the predicted values are in good agreement with the measured values.Compared with BP neural network,radial basis function neural network is superior to BP neural network in terms ofconvergence speed and prediction accuracy.
radial basis function neural networkprediction accuracydynamic response speedoxygen content
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