Affected by human cognitive and emotional factors, there are errors, conflicts and redundant contents in travel mutual information, so it is necessary to distinguish and classify travel mutual information. Based on the analysis of mutual information characteristics, this paper constructs mutual information dataset by road experiment, and selects the convolutional neural network to classify and identify it. The python simulation results show that compared with SVM and fully connected network, convolutional neural network has higher recognition degree for mutual aid information classification.


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    Title :

    Travel Mutual Information Classification Based on Convolution Neural Network


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Zhang, Zhenyuan (editor) / Hou, Xiaoyu (author) / Hu, Siyu (author)

    Conference:

    International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021



    Publication date :

    2022-06-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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