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The correlation between green finance and carbon emissions based on improved neural network

机译:基于改进神经网络的绿色金融与碳排放的相关性研究

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摘要

The development of green finance and the quantitative evaluation of its impact on the ecological environment provide empirical evidence for the construction of the carbon trading accounting system. Among them, carbon trading is an important part of green finance, and the accounting of businesses related to carbon emission rights has promoted the development of regional green finance. In order to explore the relationship between green finance and carbon emissions, this paper builds an analysis model of the relationship between green finance and carbon emissions based on big data and machine learning based on big data technology and machine learning technology. Moreover, this paper conducts simulation tests through the system and compares the output results with the actual situation after system simulation to verify the effectiveness of the model in this paper. From the experimental research results, it can be seen that the correlation analysis model of green finance and carbon emissions based on big data and machine learning constructed in this paper has a good performance in the correlation analysis of green finance and carbon emissions. Moreover, it is not difficult to see through the model of this paper that there is a clear correlation between green finance and carbon emissions.
机译:绿色金融的发展及其对生态环境影响的量化评价,为碳交易核算体系的构建提供了经验证据。其中,碳交易是绿色金融的重要组成部分,碳排放权相关业务的核算推动了区域绿色金融的发展。为了探究绿色金融与碳排放的关系,本文构建了基于大数据和基于大数据的机器学习和机器学习的绿色金融与碳排放关系分析模型。此外,本文通过系统进行仿真测试,并将输出结果与系统仿真后的实际情况进行对比,以验证本文模型的有效性。从实验研究结果可以看出,本文构建的基于大数据和机器学习的绿色金融与碳排放相关性分析模型,在绿色金融与碳排放的相关性分析中具有较好的表现。此外,通过本文的模型不难看出,绿色金融与碳排放之间存在明显的相关性。

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