Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm
With the continuous improvement of the capital market and related laws and regulations, accounting as a reflection of the corporate capital movement will have a significant impact on the quality of the entire accounting information. Moreover, for investors, whether accounting information can meet th...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/3859994 |
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| _version_ | 1832549451826200576 |
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| author | Mengying Sun |
| author_facet | Mengying Sun |
| author_sort | Mengying Sun |
| collection | DOAJ |
| description | With the continuous improvement of the capital market and related laws and regulations, accounting as a reflection of the corporate capital movement will have a significant impact on the quality of the entire accounting information. Moreover, for investors, whether accounting information can meet their needs is an important basis for assessing the feasibility of investment projects. Therefore, the importance of accounting information is becoming more and more important, and it has gradually become the focus of attention of all parties. In order to improve the effect of accounting quantity and quality evaluation, this article improves the particle swarm optimization algorithm. It improves the particle swarm optimization algorithm from the three aspects—extreme value selection, particle diversity, and inertia weight, and establishes an optimization algorithm suitable for solving the accounting data audit optimization problem. The experimental research results show that the accounting data quality evaluation system based on the improved particle swarm algorithm proposed in this article has a good accounting data quality evaluation effect and meets the basic requirements of this article to build the system. |
| format | Article |
| id | doaj-art-93d762e8dfbe46e4b2cf579c4f16cfbd |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-93d762e8dfbe46e4b2cf579c4f16cfbd2025-02-03T06:11:18ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/3859994Accounting Data Quality Evaluation Method Based on Improved Particle Swarm AlgorithmMengying Sun0Xinyang Vocational and Technical College Business SchoolWith the continuous improvement of the capital market and related laws and regulations, accounting as a reflection of the corporate capital movement will have a significant impact on the quality of the entire accounting information. Moreover, for investors, whether accounting information can meet their needs is an important basis for assessing the feasibility of investment projects. Therefore, the importance of accounting information is becoming more and more important, and it has gradually become the focus of attention of all parties. In order to improve the effect of accounting quantity and quality evaluation, this article improves the particle swarm optimization algorithm. It improves the particle swarm optimization algorithm from the three aspects—extreme value selection, particle diversity, and inertia weight, and establishes an optimization algorithm suitable for solving the accounting data audit optimization problem. The experimental research results show that the accounting data quality evaluation system based on the improved particle swarm algorithm proposed in this article has a good accounting data quality evaluation effect and meets the basic requirements of this article to build the system.http://dx.doi.org/10.1155/2022/3859994 |
| spellingShingle | Mengying Sun Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm Advances in Multimedia |
| title | Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm |
| title_full | Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm |
| title_fullStr | Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm |
| title_full_unstemmed | Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm |
| title_short | Accounting Data Quality Evaluation Method Based on Improved Particle Swarm Algorithm |
| title_sort | accounting data quality evaluation method based on improved particle swarm algorithm |
| url | http://dx.doi.org/10.1155/2022/3859994 |
| work_keys_str_mv | AT mengyingsun accountingdataqualityevaluationmethodbasedonimprovedparticleswarmalgorithm |