| Title |
Research on the Impact of Green Technology Innovation on Enterprise Financial Information Management Based on Compound Neural Network |
| ID_Doc |
30637 |
| Authors |
Sun, S; Zhang, XD; Dong, L; Fan, L; Liu, XJ |
| Title |
Research on the Impact of Green Technology Innovation on Enterprise Financial Information Management Based on Compound Neural Network |
| Year |
2023 |
| Published |
Journal Of Organizational And End User Computing, 35, 3 |
| DOI |
10.4018/JOEUC.326519 |
| Abstract |
To enhance the early warning level of financial risks in enterprises, mitigate the financial risks arising from diverse adversities, and drive green technological innovation and sustainable development, this study proposes a financial risk prediction model (MS-BGRU) that amalgamates multi-scale convolution and two-way GRU. Firstly, a multi-scale feature extraction module is devised that assimilates financial information from various scales by leveraging hole convolution with distinct expansion rates. This assimilated information is then fused to obtain richer context information. Secondly, the BGRU network is employed to discern the sequence characteristics and time information of financial indicators. The empirical results showcase that the model proposed in this paper exhibits a high identification accuracy, surging up to 98.03%, which surpasses other benchmark models. The model can accurately prophesize the financial risk of enterprises and offer guidance to management decision-makers in averting financial risk. |
| Author Keywords |
BGRU; Financial Risk Prediction; Green Technology Innovation; Neural Network |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001069314400004 |
| WoS Category |
Computer Science, Information Systems; Information Science & Library Science; Management |
| Research Area |
Computer Science; Information Science & Library Science; Business & Economics |
| PDF |
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