Abstract
In this paper a passenger volume prediction model based on genetic neural network was proposed in order to overcome the shortcomings of traditional BP neural network such as slow convergent speed and easy convergence to the local minimum points. Neural network’s weights and thresholds were optimized by genetic algorithm in the model, and then predicted passenger volume with BP network. The results show that the prediction model improved the efficiency and precision of passenger volume prediction for external passenger transport hub.
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