Random forest regression model application for prediction of China's railway freight volume
Yang Wang and Xiaochun Lu
| Year of publication: |
2021
|
|---|---|
| Authors: | Wang, Yang ; Lu, Xiaochun |
| Published in: |
Collaborative logistics and intermodality : integration in supply chain network models and solutions for global environments. - Cham, Switzerland : Springer, ISBN 978-3-030-50956-9. - 2021, p. 91-120
|
| Subject: | Railway freight volume | Prediction model | Random forest regression | Prognoseverfahren | Forecasting model | China | Regressionsanalyse | Regression analysis | Schienengüterverkehr | Rail freight transport | Forstwirtschaft | Forestry |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz im Buch ; Book section |
| Language: | English |
| Other identifiers: | 10.1007/978-3-030-50958-3_6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012647837