Title: Artificial intelligence-based modelling for global warming analysis incorporated with the nuclear energy productions

Authors: Tae Ho Woo

Addresses: Department of Mechanical and Control Engineering, The Cyber University of Korea, 106 Bukchon-ro, Jongno-gu, Seoul, 03051, South Korea

Abstract: For future estimation of energy industry, the machine learning is used for the reliability of the nuclear energy productions where the game theory is incorporated with neural networking algorithm. As a major non-carbon production energy source, the nuclear power would be developed with the regeneration energy instead of the fossil fuels such as oil or gas. That is, the nuclear energy could mitigate the global warming which has been produced by the carbon-based fuels. In the graph, the slope is flatted from 100th to 350th month. In addition, it jumps up around 730th and 950th months. It is necessary to enhance the nuclear technology to the higher level as much as the cheaper and easier production energy source to the public in our society.

Keywords: global warming; nuclear energy; artificial intelligence; complex.

DOI: 10.1504/IJGW.2019.099803

International Journal of Global Warming, 2019 Vol.17 No.4, pp.389 - 400

Received: 14 Nov 2018
Accepted: 02 Mar 2019
Published online: 22 May 2019 *

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