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

ABSTRACT: The progress of the digital economy has promoted the enterprise accounting system. To accelerate the update and evolution of accounting systems, we propose a parameter selection method based on multi-objective optimization and genetic algorithm. Firstly, this article proposes an accounting feature extraction method based on multimodal information embedding. The dual-branch structure and feature pyramid network are used to realize the feature extraction of the information involved in accounting. Then, this article proposes a multi-objective parameter selection method based on a parallel genetic algorithm. By embedding a genetic algorithm in the process of dual-branch model training, the model's ability to sense accounting information is improved. Finally, using the above two methods, an acc

SUBMITTER: Qin R 

PROVIDER: S-EPMC11041931 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature