Use of BP Neural Networks to Determine China’s Regional CO2 Emission Quota

Use of BP Neural Networks to Determine China’s Regional CO2 Emission Quota

China declared a long-term commitment at the United Nations General Assembly (UNGA) in 2020 to reduce CO2 emissions. This announcement has been described by Reuters as “the most important climate change commitment in years.” The allocation of China’s provincial CO2 emission quotas (hereafter referre...

Full description

Saved in:

Bibliographic Details
Main Authors:	Yawei Qi, Wenxiang Peng, Ran Yan, Guangping Rao
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/6659302
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Les Quotas
by: Marie-Laure Schultze, et al.
Published: (2017-12-01)

Identifying the Determinants of CO2 Emission Change in China’s Power Sector
by: Caiqing Zhang, et al.
Published: (2016-01-01)

Distribution of University Admission Quotas: Problems of Competitive Selection Process
by: L. M. Nurieva, et al.
Published: (2019-07-01)

Expansion of medical school admission quotas in Korea, is it really necessary?
by: Jeong Hun Park, et al.
Published: (2025-01-01)

Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network
by: Hao Peng, et al.
Published: (2020-01-01)

Research on Food Security Risk Assessment and Early Warning in China Based on BP Neural Network Model
by: Yuke Hou, et al.
Published: (2022-01-01)

Fault Identification of Low-Speed Hub Bearing of Crane Based on MBMD and BP Neural Network
by: Li-Hong Guo, et al.
Published: (2022-01-01)

Application of Optimized BP Neural Network In Financial Alert System
by: Qiaoyi Gao
Published: (2022-01-01)

Report on the Academic Symposium: Youth Quotas − The Answer to Changes in Age Demographics?
by: Igor Dimitrijoski
Published: (2015-11-01)

Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network
by: Wenguang Yu, et al.
Published: (2021-01-01)

Simulation and Prediction of Injection Pressure in CO2 Geological Sequestration Based on Improved LSO Algorithm and BP Neural Networks
by: Miaomiao Liu, et al.
Published: (2022-01-01)

Development of a Robotic Catheter Manipulation System Based on BP Neural Network PID Controller
by: Xu Ma, et al.
Published: (2020-01-01)

Study on Early Warning of Karst Collapse Based on the BP Neural Network
by: Dongqin Chen
Published: (2022-01-01)

Tourism Demand Forecasting Based on Grey Model and BP Neural Network
by: Xing Ma
Published: (2021-01-01)

Performance Evaluation of Laboratory Management System Based on BP Neural Network
by: Anjie Su, et al.
Published: (2022-01-01)

The Czech Republic Sugar Market Development in the Context of the Phasing out of Sugar Quota
by: Kateřina Kovářová, et al.
Published: (2017-09-01)

Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network
by: Ruyi Yang
Published: (2020-01-01)

Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network
by: Shuo Zhu, et al.
Published: (2022-01-01)

Retracted: Intelligent Storage Data Classification System Based on the BP Neural Network
by: Journal of Control Science and Engineering
Published: (2023-01-01)

An Inventory Controlled Supply Chain Model Based on Improved BP Neural Network
by: Wei He
Published: (2013-01-01)

Forecast of Chemical Export Trade Based on PSO-BP Neural Network Model
by: Na Li, et al.
Published: (2022-01-01)

Application of the BP Neural Network Model of Gray Relational Analysis in Economic Management
by: Zhuojie Li
Published: (2022-01-01)

Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network
by: Qiang Guo, et al.
Published: (2025-01-01)

Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction
by: Yueying Li, et al.
Published: (2023-01-01)

Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network
by: Xue Yan, et al.
Published: (2020-01-01)

A GA-BP neural network algorithm for fault detection of transmission tower bolts
by: Ziqiang Lu, et al.
Published: (2025-02-01)

Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms
by: Zhimao Li, et al.
Published: (2020-01-01)

Supply Capability Evaluation of Intelligent Manufacturing Enterprises Based on Improved BP Neural Network
by: Quan Quan, et al.
Published: (2022-01-01)

An Audit Risk Model Based on Improved BP Neural Network Data Mining Algorithm
by: Wenjia Niu, et al.
Published: (2022-01-01)

The Prediction of Pile Foundation Buried Depth Based on BP Neural Network Optimized by Quantum Particle Swarm Optimization
by: Fei Yin, et al.
Published: (2021-01-01)

Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network
by: Yuchao Zheng, et al.
Published: (2019-01-01)

A BP Neural Network Method for Grade Classification of Loose Damage in Semirigid Pavement Bases
by: Bei Zhang, et al.
Published: (2021-01-01)

Research on PMF Model Based on BP Neural Network Ensemble Learning Bagging and Fuzzy Clustering
by: Zhengjin Zhang, et al.
Published: (2021-01-01)

Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network
by: Fang Liu, et al.
Published: (2019-01-01)

Retracted: Supply Capability Evaluation of Intelligent Manufacturing Enterprises Based on Improved BP Neural Network
by: Journal of Mathematics
Published: (2024-01-01)

Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA
by: Gang Chen, et al.
Published: (2022-01-01)

Optimization of Online Teaching Quality Evaluation Model Based on Hierarchical PSO-BP Neural Network
by: Luxin Jiang, et al.
Published: (2020-01-01)

Inversion of Mechanical Parameters of Tunnel Surrounding Rock Based on Improved GWO-BP Neural Network
by: Chen Zhang, et al.
Published: (2025-01-01)

Evaluation of the Urban Low-Carbon Sustainable Development Capability Based on the TOPSIS-BP Neural Network and Grey Relational Analysis
by: Wei Zhang, et al.
Published: (2020-01-01)

Retracted: Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA
by: Journal of Function Spaces
Published: (2023-01-01)