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A novel adaptive method of parameters selection for smoothed pseudo Winger-Ville distribution (SPWVD) is proposed in this paper. The proposed method can supply the optimal performance of the SPWVD for a signal which lack of prior knowledge. Based on a feature value for the determination of the SPWVD maximum concentration, the Genetic Algorithm is used in the adaptive method. The proposed feature value...
This paper discusses a method for chaotic time series prediction based on radial basis function (RBF) neural network. The number of input nodes for RBF is determined by embedding dimension based on chaotic phase-space reconstruction. Both Grassberger--Procaccia algorithm and Takens' method are employed to calculate minimal embedding dimension of chaotic time series. Finally, the prediction accuracy...
Focusing on increase the capability of currency in the traffic net and decrease the possibility of loss on charge, in this paper, a novel method of vehicle classification by using quantum neural network (QNN) is proposed. A model of quantum neural network is proposed and its property is analyzed. The simulations show the proposed method can greatly reduce the training times also have enough accuracy...
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