Application of Optimized BP Neural Network In Financial Alert System
The development of economic globalization not only brings development opportunities for enterprise development but also causes the rapid changes of economic environment. Global enterprises are facing many development challenges. It is very significant to implement financial alert. However, most of t...
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
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| Series: | Journal of Function Spaces |
| Online Access: | http://dx.doi.org/10.1155/2022/1816315 |
| _version_ | 1798033198941208576 |
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| author | Qiaoyi Gao |
| author_facet | Qiaoyi Gao |
| author_sort | Qiaoyi Gao |
| collection | DOAJ |
| description | The development of economic globalization not only brings development opportunities for enterprise development but also causes the rapid changes of economic environment. Global enterprises are facing many development challenges. It is very significant to implement financial alert. However, most of the existing financial alert systems are based on traditional quantitative analysis and cannot face the demand of big data growth. Based on this, main body of a book studies and analyzes the request of optimized BP neural network in financial alert system. Based on the financial early warning and a brief analysis of the development requirements of BP neural network, this paper establishes a financial early warning model for BP neural network. Considering the shortcomings of BP neural network, genetic algorithm is used to optimize the specification. Finally, a new reference scheme is provided for economic early warning. And use the following steps to create a list, taking into account the volume analysis in the conceptual design. The emulation results indicates that the optimized BP neural network can accelerate the convergence, has strong stability, and has higher accuracy in financial alert. |
| first_indexed | 2024-04-11T20:26:29Z |
| format | Article |
| id | doaj.art-d7e684ec30d64660abfe94f180cd28f0 |
| institution | Directory Open Access Journal |
| issn | 2314-8888 |
| language | English |
| last_indexed | 2024-04-11T20:26:29Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Journal of Function Spaces |
| spelling | doaj.art-d7e684ec30d64660abfe94f180cd28f02022-12-22T04:04:39ZengHindawi LimitedJournal of Function Spaces2314-88882022-01-01202210.1155/2022/1816315Application of Optimized BP Neural Network In Financial Alert SystemQiaoyi Gao0Business SchoolThe development of economic globalization not only brings development opportunities for enterprise development but also causes the rapid changes of economic environment. Global enterprises are facing many development challenges. It is very significant to implement financial alert. However, most of the existing financial alert systems are based on traditional quantitative analysis and cannot face the demand of big data growth. Based on this, main body of a book studies and analyzes the request of optimized BP neural network in financial alert system. Based on the financial early warning and a brief analysis of the development requirements of BP neural network, this paper establishes a financial early warning model for BP neural network. Considering the shortcomings of BP neural network, genetic algorithm is used to optimize the specification. Finally, a new reference scheme is provided for economic early warning. And use the following steps to create a list, taking into account the volume analysis in the conceptual design. The emulation results indicates that the optimized BP neural network can accelerate the convergence, has strong stability, and has higher accuracy in financial alert.http://dx.doi.org/10.1155/2022/1816315 |
| spellingShingle | Qiaoyi Gao Application of Optimized BP Neural Network In Financial Alert System Journal of Function Spaces |
| title | Application of Optimized BP Neural Network In Financial Alert System |
| title_full | Application of Optimized BP Neural Network In Financial Alert System |
| title_fullStr | Application of Optimized BP Neural Network In Financial Alert System |
| title_full_unstemmed | Application of Optimized BP Neural Network In Financial Alert System |
| title_short | Application of Optimized BP Neural Network In Financial Alert System |
| title_sort | application of optimized bp neural network in financial alert system |
| url | http://dx.doi.org/10.1155/2022/1816315 |
| work_keys_str_mv | AT qiaoyigao applicationofoptimizedbpneuralnetworkinfinancialalertsystem |