Application of neural network based on cloud computing in rail traffic dispatch
Wan Rongze Chen Pk.
The reasonable dispatch of rail transit is the focus of energy saving and emission reduction, and the problem of large scheduling error in the environment of cloud computing. This paper expounds The theory of cloud computing in detail, applies the cloud computing neural network model to the track traffic scheduling process, solves the model, and realizes the rail traffic dispatch according to the optimal solution obtained. The experimental results show that the improved algorithm can greatly improve the scheduling accuracy and meet the actual demand of the rail transit.
Application of neural network based on cloud computing in rail traffic dispatch
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