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本文应用人工神经网络模型中的连续Ｈｏｐｆｉｅｌｄ网络求解估计城市道路交通出行量分布的反推数学模型，力求提高求解的速度和精度，获得令人满意的结果．
In this paper, we use the continuous Hopfield network in artificial neural network model to solve the inverse estimation mathematical model of estimating the traffic distribution of urban road traffic, and strive to improve the speed and accuracy of the solution, and obtain satisfactory results.