Scenario analysis of transportation carbon emissions in China based on machine learning and deep neu...
Scenario analysis of transportation carbon emissions in China based on machine learning and deep neural network models
About this item
Full title
Author / Creator
Publisher
Bristol: IOP Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Bristol: IOP Publishing
Subjects
More information
Scope and Contents
Contents
Coping with the relation between the increase in carbon emissions and energy consumption in the transportation sector is a pressing issue today. Machine learning and deep neural networks were used in this study to explore the influential factors and trends in future transportation carbon emissions. First, the least absolute shrinkage and selection...
Alternative Titles
Full title
Scenario analysis of transportation carbon emissions in China based on machine learning and deep neural network models
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2816075459
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2816075459
Other Identifiers
ISSN
1748-9326
E-ISSN
1748-9326
DOI
10.1088/1748-9326/acd468
