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    Prediction Model for Traffic Flow with Missing Values Based on Generative Adversarial and Graph Convolutional Networks 

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2023:;Volume ( 017 ):;issue: 003:;page 62-74-1
    Author(s): Jian-zhong Chen; Ze-kai Lü; Hao-meng Lin
    Publisher: ASCE
    Abstract: In order to improve the accuracy of urban road network traffic-flow prediction with missing values, the generator and discriminator of the generative adversarial network were reconstructed, the loss function was improved, ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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