Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service
Authors:
- 23 July 2022
- book chapter
- Published by Springer Nature
- p. 419-432
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Prediction Method of Railway Freight Volume Based on Genetic Algorithm Improved General Regression Neural NetworkJournal of Intelligent Systems, 2017
- Freight Transport with Vans: Developments and MeasuresTransportation Research Procedia, 2016
- Deep learningNature, 2015
- A Data Mining Based Method for Route and Freight EstimationProcedia Computer Science, 2015
- Practical Recommendations for Gradient-Based Training of Deep Architectures2012
- A tutorial on support vector regressionStatistics and Computing, 2004
- Random ForestsMachine Learning, 2001
- City Logistics2001
- A training algorithm for optimal margin classifiers1992
- Learning representations by back-propagating errorsNature, 1986