Construction of Low-carbon Economic Development Level Model Based on BP Neural Network Algorithm-Reference-Cited by-同舟云学术

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Construction of Low-carbon Economic Development Level Model Based on BP Neural Network Algorithm

Published:2023-08-18 Issue: Volume:3 Page:1422-1426
ISSN:
Container-title:2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
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Author:

Nurullayevna Nigmatullayeva Gulchekhra¹,Soundari A.Gnana²,Begum I.Parvin³,S Santhosh⁴,Alzubaidi Laith H.⁵,Naqvi Aiman⁶

Affiliation:

1. Tashkent State University of Economics,Department of «Green» Economy and Sustainable Business

2. SIMATS,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

3. B.S.Abdur Rahman Crescent Institute of Science and Technology,Department of Computer Applications,Vandalur,Tamil Nadu,India,600048

4. New Prince Shri Bhavani College Of Engineering And Technology,Tamilnadu,India

5. The Islamic University,College of Technical Engineering,Najaf,Iraq

6. M S Ramaiah Institute Of Technology,Bangalore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391093/10391094/10391812.pdf?arnumber=10391812

Reference20 articles.

1. The current potential of low-carbon economy and biomass-based electricity in Cuba. The case of sugarcane, energy cane and marabu (Dichrostachys cinerea) as biomass sources

2. Electric Power Engineering Education: Cultivating the Talent in the United Kingdom and Italy to Build the Low-Carbon Economy of the Future

3. Stability and Reliability Analysis for Multiple WT Using Deep Reinforcement Learning

4. Trends in dark biohydrogen production strategy and linkages with transition towards low carbon economy: An outlook, cost-effectiveness, bottlenecks and future scope

5. Bi-level energy optimization model in smart integrated engineering systems using WSN

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