Re-measurement of agricultural carbon emission rates: Drivers, regional differences and dynamic evolution.
This research paper introduces a novel approach by combining a Backpropagation (BP) neural network with a non-angular and non-radial directional distance function to construct a BPNN-DDF model. This innovative model evaluates, decomposes, and analyzes China's agricultural sector's carbon e...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
|
| Online Access: | https://doi.org/10.1371/journal.pone.0308496 |