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

Rongjie Qin1,2, Muhammad Shahbaz3

  • 1Wuhan Technology and Business University, Wuhan, China.

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|April 25, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced accounting system using multimodal information embedding and a parallel genetic algorithm for parameter selection. The novel approach enhances enterprise financial situations with remarkable performance metrics.

Keywords:
Accounting systemDigital economyGenetic algorithmMulti-objective optimizationParameter selection

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Accounting Information Systems

Background:

  • The digital economy necessitates advancements in enterprise accounting systems.
  • Existing accounting systems require acceleration in their update and evolution to meet new demands.

Purpose of the Study:

  • To propose a novel parameter selection method for optimizing accounting systems.
  • To enhance the feature extraction and information sensing capabilities of accounting models.

Main Methods:

  • Accounting feature extraction using multimodal information embedding with a dual-branch structure and feature pyramid network.
  • Multi-objective parameter selection via a parallel genetic algorithm integrated into dual-branch model training.
  • Development of an accounting system evaluation method utilizing a recurrent Transformer.

Main Results:

  • The proposed method achieved a high F-value of 87.6%, mAP of 83.5%, and accuracy of 83.4%.
  • Experimental results demonstrate a significant improvement in the model's ability to sense accounting information.
  • The approach is positioned at an advanced global level for enhancing accounting systems.

Conclusions:

  • The integrated approach of multimodal embedding and genetic algorithm optimization effectively enhances accounting systems.
  • The recurrent Transformer-based evaluation method shows strong potential for improving enterprise financial situations.
  • This research offers a scalable solution for modernizing accounting practices in the digital economy.