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<p>This paper combines industry characteristics of photovoltaic enterprises, selects 14 financial indicators to construct an enterprise performance evaluation indicator system, and calculates the comprehensive financial performance value in combination with the indicator weights. A financial performance evaluation model is then constructed using the PSO-LMBP method. The effectiveness of the proposed model in financial performance evaluation is effectively verified through a case study, providing a reference for financial performance evaluation in other industries.</p>

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Research on deep learning methods for evaluating corporate financial performance in the context of a low-carbon economy

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月29日

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  • Chunli Wang

摘要

This paper combines industry characteristics of photovoltaic enterprises, selects 14 financial indicators to construct an enterprise performance evaluation indicator system, and calculates the comprehensive financial performance value in combination with the indicator weights. A financial performance evaluation model is then constructed using the PSO-LMBP method. The effectiveness of the proposed model in financial performance evaluation is effectively verified through a case study, providing a reference for financial performance evaluation in other industries.