The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
基于变分贝叶斯及相空间重构理论,提出了含噪混沌时间序列相空间域线性回归预测模型。
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Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.