Optimization and Analysis of Intelligent Accounting Information System Based on Deep Learning Model

Abstract

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.

Analysis of Innovative Education Resource Optimization Allocation Model Based on Differential Evolutionary Algorithm

“…Accounting information system is a dynamic circulation system, the design of its internal control system is reasonable, directly related to the efficiency and effect of accounting work [6]. The specific steps are as follows:…”

Kecanggihan Teknologi Informasi, Skill, Pengalaman Kerja, Kompleksitas Tugas pada Efektivitas Sistem Informasi Akuntansi

“…LPD pada praktiknya bersaing secara ketat dengan lembaga keuangan lain misalnya Bank Perkreditan Rakyat (BPR), koperasi dan bank umum. Informasi akuntansi sesuai dikutip dari Feng & Zhong (2022) merupakan, acuan penting bagi suatu perusahaan untuk mengambil keputusan besar, dan juga merupakan jaminan mendasar bagi suatu perusahaan untuk tetap mampu bertahan dalam persaingan yang semakin ketat. Kabupaten Badung memiliki enam kecamatan, dimana salah satunya yaitu Kecamatan Kuta Selatan.…”

Real-time task parameter selection method of accounting system based on multi-objective optimization and genetic algorithm

“…By exploring the parallel bookkeeping pathway, this approach enhances the efficiency and precision of financial personnel. By creating an intelligent recognition model, Feng & Zhong (2022) addressed the limitations of conventional accounting methods, including significant calculation errors, time intensiveness, and labor intensiveness. Their work serves as a crucial reference for enterprises in making significant decisions.…”