School of Accountancy, Shandong Youth University of Political Science, Jinan 250103, China.
School of Economics and Management, Hebei Oriental University, Langfang 065000, China.
Comput Intell Neurosci. 2022 Jul 31;2022:1284289. doi: 10.1155/2022/1284289. eCollection 2022.
Accounting information often accounts for more than 70% of an enterprise's financial report information. Accounting information is an important reference for an enterprise to make major decisions, and it is also the fundamental guarantee for an enterprise to remain invincible under the increasingly fierce business competition. With the vigorous development of enterprise informatization, traditional accounting information processing methods can no longer meet the needs of the information age. Therefore, an excellent enterprise must have a complete set of intelligent accounting information systems. How to extract the information we want from the dazzling accounting information data is a hot topic in the current financial industry. On the basis of analyzing the significance of establishing an information system, this paper creates an intelligent recognition model, which solves the shortcomings of traditional methods such as large calculation errors, time-consuming, and labor-intensive. The research results of the article show that (1) the standardized coefficients of the four influencing factors of CSR, ROE, CEO, and SCALE are relatively large, indicating that these four influencing factors have a significant impact on the development of corporate accounting and you can pay attention to these four aspects. (2) To test the performance of the article model, the experiments are compared with other models. The results show that the model proposed in this paper has the highest running success rate on the two test sets, with a success rate of more than 98%, indicating that the model in this paper has certain advantages in accounting information processing. (3) In the page response time experiment, the financial module has the shortest response time, the number of tests is 60 times, the average response time is 0.5 s, and the success rate can reach 100%. It can reach 0.8 s, and the success rate can be kept above 98%, indicating that the system can work normally. In the system operation stability test, the number of test cases designed for the financial module is 70, the number of executed test cases is 70, and the execution rate can reach 100%. This means that the system can work properly and will not fail during operation.
会计信息通常占企业财务报告信息的 70%以上。会计信息是企业做出重大决策的重要参考，也是企业在日益激烈的商业竞争中保持不败的根本保障。随着企业信息化的蓬勃发展，传统的会计信息处理方法已经不能满足信息时代的需求。因此，一个优秀的企业必须拥有一套完整的智能会计信息系统。如何从眼花缭乱的会计信息数据中提取我们想要的信息，是当前金融行业的热门话题。本文在分析建立信息系统意义的基础上，构建了智能识别模型，解决了传统方法计算误差大、耗时耗力的缺点。文章的研究结果表明：（1）CSR、ROE、CEO 和 SCALE 这四个影响因素的标准化系数较大，说明这四个影响因素对企业会计的发展有显著影响，可以关注这四个方面。（2）为了检验本文模型的性能，将实验与其他模型进行了比较。结果表明，本文提出的模型在两个测试集中的运行成功率最高，成功率均在 98%以上，表明本文提出的模型在会计信息处理方面具有一定的优势。（3）在页面响应时间实验中，财务模块的响应时间最短，测试次数为 60 次，平均响应时间为 0.5s，成功率可达 100%。当到达 0.8s 时，成功率可保持在 98%以上，表明系统可以正常工作。在系统运行稳定性测试中，财务模块的测试用例设计数量为 70，执行的测试用例数量为 70，执行率可达 100%。这意味着系统可以正常工作，运行过程中不会出现故障。
