Short-Term Traffic Flow Forecasting of Road Based on Spline Weight Function Neural Networks
2014 ◽
Vol 513-517
◽
pp. 695-698
Keyword(s):
Traditional short-term traffic flow forecasting of road usually based on back propagation neural network, which has a low prediction accuracy and convergence speed. This paper introduces a spline weight function neural networks which has a feature that the weight function can well reflect sample information after training, thus propose a short-term traffic flow forecasting method base on the spline weight function neural network, specify the network learning algorithm, and make a comparative tests bases on the actual data. The result proves that in short-term traffic flow forecasting, the spline weight function neural network is more effective than traditional methods.
2019 ◽
Vol 24
(2)
◽
pp. 209-219
◽
2021 ◽
Vol 2
(336)
◽
pp. 121-124
2019 ◽
Vol 15
(10)
◽
pp. 155014771988313
◽
2016 ◽
Vol 17
◽
pp. 101-114
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Keyword(s):
Keyword(s):