Carbon emission prediction method for expressway construction period based on PSO-BP neural network

Carbon emission prediction method for expressway construction period based on PSO-BP neural network

To solve the problem of inaccurate carbon emissions prediction during the highway construction period, a method of optimizing the back propagation(BP) neural network by particle swarm optimization (PSO) algorithm was proposed to predict carbon emissions. The 12 key indicators, including route length...

Full description

Saved in:
Bibliographic Details
Main Authors: Quansheng ZHAO, Fei LI, Feng′ai GUO, Jianyou YU, Shizhao XU, Yunpeng HU, Xiaomeng CHU
Format: Article
Language:zho
Published: Hebei University of Science and Technology 2025-06-01
Series:Journal of Hebei University of Science and Technology
Subjects:
other disciplines of road engineering; carbon emission prediction; pso-bp neural network; model optimization; factor analysis
Online Access:https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202503009?st=article_issue
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202503009?st=article_issue

Similar Items