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

Abstract 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.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2025-10-29
DOI
https://doi.org/10.1007/s44163-025-00568-3
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Chunli Wang
Discover Artificial Intelligence
Advanced Technologies in Various Fields
article

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

Chunli Wang
article en

Abstract

Abstract 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.

Discover Artificial IntelligenceVol. 5(1)
Changchun University (CN)
Openalex Percentile: Top 83%
Advanced Technologies in Various Fields
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