您当前的位置：
首页 >
文章列表页 >
Research on Metro Passenger Flow Forecast Based on SARIMA-SVM Combined Model
更新时间：2022-12-27
|

    • Research on Metro Passenger Flow Forecast Based on SARIMA-SVM Combined Model

    • Software Guide   Vol. 21, Issue 11, Pages: 24-30(2022)

    • DOI：10.11907/rjdk.212729    

      CLC：

    扫 描 看 全 文

  • SHAO Bi-lin,RAO Yuan,HE Xin.Research on Metro Passenger Flow Forecast Based on SARIMA-SVM Combined Model[J].Software Guide,2022,21(11):24-30. DOI： 10.11907/rjdk.212729.

  •  
  •  

0

Views

5

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research on Natural Gas Load Forecasting Based on RVM-GRNN Combined Model
Research on Web Automation Test Method Based on Selenium and SVM
Research on Real Time Fall Detection System Based on Attitude Fusion
Research on Freight Volume Prediction Based on ARIMA-BP Combination Model
MRI Texture Features Combined with SVM to Predict the Depth of Myometrial Invasion in Endometrial Cancer

Related Author

No data

Related Institution

School of Artificial Intelligence and Computer， Jiangnan University
School of Intelligent Equipment， Wuxi Taihu University
Jiangsu Pattern Recognition and Computational Intelligence Engineering Laboratory，Jiangnan University
School of Electric and Electronic Engineering， Shanghai University of Engineering Science
State Grid Linyi Power Supply Company
0