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An Efficient Activation Function for BP Neural Network

In traditional BP algorithm, sigmoid activation function outputs are restricted in interval [0, 1], and BP algorithm converges slow and has very low accuracy near 0 and 1. A new sigmoid activation function is put forward and applied to the forecast of short-term traffic flow. Simulation shows that the proposed activation function has overcome the above two shortcomings and got better effect than the traditional one.