Research on automatic classification method of transportation industry data based on deep learning
To promote the interconnection of information systems in the transportation industry,ensure data security,and further promote healthy development of the industry,this paper studies data sharing and automatic classification methods in the transportation industry.Based on the data classification method of convolutional neural network-bidirectional gating recurrent unit-capsule network(CNN-BiGRU-CapsNet)model,this paper designs and implements the automatic data classification module in the transportation information resource directory system,and completes the automatic classification of data in the industry field.The experimental results show that the accuracy and F1 score of the proposed algorithm have reached 70.48%and 70.16%respectively,which are significantly higher than several existing mainstream models and can effectively improve the efficiency of data classification.
国家科技期刊平台
NSTL
万方数据
维普
