Quality evaluation of accounting information based on multi-layer neural network

DOI

10.2991/978-94-6463-266-8_66How to use a DOI?

Keywords

accounting information; Quality evaluation; Multilayer neural network

Abstract

With the continuous development of economy, accounting information plays an increasingly important role in enterprise decision-making. However, the traditional accounting information quality evaluation method has some problems, such as strong subjectivity and difficulty in quantifying the evaluation results, which can not meet the requirements of modern enterprises on the quality of accounting information. The evaluation of accounting information quality based on multi-layer neural network is a new evaluation method. It can effectively solve the problem of data nonlinearity in the evaluation of accounting information quality by using the nonlinear characteristics of multi-layer neural network.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Xuebin Wang
PY  - 2023
DA  - 2023/10/10
TI  - Quality evaluation of accounting information based on multi-layer neural network
BT  - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
PB  - Atlantis Press
SP  - 609
EP  - 615
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-266-8_66
DO  - 10.2991/978-94-6463-266-8_66
ID  - Wang2023
ER  -