Recursive Bayesian echo state network with an adaptive inflation factor for temperature prediction

Temperature prediction is a challenging problem and a concern in energy, environment, industry and agriculture etc. Climate models and statistical time-series forecasting methods are the ineffective forecasting tools of the long-range temperature prediction. A recurrent neural network (RNN) can mode...

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