Economy and carbon emissions optimization of different countries or areas in the world using an improved Attention mechanism based long short term memory neural network
- 1 October 2021
- journal article
- research article
- Published by Elsevier BV in Science of The Total Environment
- Vol. 792, 148444
- https://doi.org/10.1016/j.scitotenv.2021.148444
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities (XK1802-4)
- National Natural Science Foundation of China (21978013)
- National Key Research and Development Program of China (2017YFC1601800)
This publication has 30 references indexed in Scilit:
- The relationship among economic growth, CO2 emissions, and energy use in the APEC countries: a panel VAR approachEnvironment Systems and Decisions, 2017
- Prediction of GDP growth rate based on carbon dioxide (CO2) emissionsJournal of CO2 Utilization, 2016
- CO2emissions, economic growth, and energy use in the Middle East countries: A panel VAR approachEnergy Sources, Part B: Economics, Planning, and Policy, 2016
- Financial security evaluation of the electric power industry in China based on a back propagation neural network optimized by genetic algorithmEnergy, 2016
- A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC systemApplied Thermal Engineering, 2016
- Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industryEnergy, 2015
- Economic growth, CO2emissions and energy use in IsraelInternational Journal of Sustainable Development and World Ecology, 2015
- Rice Blast Prediction Based on Gray Ant Colony and RBF Neural Network Combination ModelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Advantages of Radial Basis Function Networks for Dynamic System DesignIEEE Transactions on Industrial Electronics, 2011
- Long Short-Term MemoryNeural Computation, 1997