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An approach that neural network optimized with PSO algorithm is proposed in the paper. Unlike conventional training method with gradient descent method only, this paper introduces a hybrid training algorithm by combining the PSO and BP algorithm. The PSO is used to optimize the initial parameters of the BP neural network, including the weights and biases. It can effectively better the cases that 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...
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