The invention discloses a traffic flow prediction method based on a feature reconstruction error, and belongs to the technical field of machine learning. The method comprises the steps of: (1) selecting a target machine learning network, and initializing the parameters of the target machine learning network; (2) constructing a training data set of traffic flow, and initializing parameters of a feature correction weight matrix; (3) training the feature correction weight matrix by using the training data set, and using a random gradient descent algorithm and a feature reconstruction error loss function in the training process; (4) fixing feature correction weight matrix parameters, training a target machine learning network, and using a random gradient descent algorithm in the training process; (5) repeating the step (3) and the step (4) until the loss function converges or reaches a maximum training step number; and (6) after the training is finished, inputting the traffic flow data tobe predicted into the trained network model to obtain the predicted traffic flow. According to the invention, the stability of the model in traffic flow prediction can be enhanced.

    本发明公开了一种基于特征重构误差的交通流量预测方法,属于机器学习技术领域,包括:(1)选择目标机器学习网络,初始化目标机器学习网络的参数;(2)构建交通流量的训练数据集,初始化特征校正权值矩阵的参数;(3)利用训练数据集对特征校正权值矩阵进行训练,训练过程使用随机梯度下降算法和特征重构误差损失函数;(4)固定特征校正权值矩阵参数,对目标机器学习网络进行训练,训练过程使用随机梯度下降算法;(5)重复步骤(3)和步骤(4),直至损失函数收敛或达到最大训练步数;(6)训练结束,将待预测的交通流量数据输入训练好的网络模型,得到预测的交通流量。利用本发明,可以增强模型在进行交通流量预测的稳定性。


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    Titel :

    Traffic flow prediction method based on feature reconstruction error


    Weitere Titelangaben:

    一种基于特征重构误差的交通流量预测方法


    Beteiligte:
    YU ZHENGXU (Autor:in) / CAI DENG (Autor:in) / WANG PENGFEI (Autor:in) / XU JUNKAI (Autor:in) / JIN ZHONGMING (Autor:in) / HUANG JIANQIANG (Autor:in) / HUA XIANSHENG (Autor:in) / HE XIAOFEI (Autor:in)

    Erscheinungsdatum :

    2020-10-09


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES



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