Research on Dynamic Traffic Flow Forecasting Model and Algorithm in Large Scale Transportation Network;
提出了大规模网络中一种基于相似度的异常检测模型。
The traffic flow forecasting model based on neural network has been applied widely in its because of its high forecasting accuracy and self-learning ability.
基于神经网络的交通流预测模型已被广泛应用于ITS由于其较高的预测精度和自我学习能力。
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