Research on Indicators Affecting Climate based on GA-BP Neural Network
DOI:
https://doi.org/10.54097/hset.v35i.7084Keywords:
Value Loss; Robustness; Correlation Analysis; GA-BP; Grey Correlation Analysis.Abstract
The economic connotation reflected by GDP index is the situation of economic growth under the green background of sustainable development theory, and reflects the coordinated development of man and nature. The team first defined GGDP, selected indicators affecting climate based on the calculation of GGDP by value loss method, and improved the model. The objective weights of indicators were calculated by entropy weight method. Finally, the correlation analysis was carried out by taking temperature and carbon dioxide emissions as evaluation indicators of climate mitigation, and the heat map was drawn. The results show that there is a strong correlation between Annual freshwater withdrawals and Changes in sulphur oxide emissions. Therefore, when GGDP is used as the main indicator to measure the health of a country or global economy, it has a measurable impact on climate mitigation. Finally, the sensitivity analysis of the model is carried out, and the robustness of the model is repeatedly verified.
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