Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Research on Neural Network Evaluation Model for the Implementation Effect of Digital Government Construction Standards

Authors
Yaru Wang1, Liwen Tang1, *
1Space Engineering University, Huairou, Beijing, China
*Corresponding author. Email: tlw20212022@163.com
Corresponding Author
Liwen Tang
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_49How to use a DOI?
Keywords
Digital government construction standards; Evaluation index system; Fuzzy-AHP; LM backpropagation algorithm; Neural network
Abstract

The article studies a model for evaluating the effectiveness of digital government construction standards based on LM backpropagation neural network. Firstly, a fuzzy AHP evaluation index system was established from three aspects and the weight coefficient of the evaluation index was calculated to characterize the impact of the evaluation index on the effectiveness of digital government construction standards; Secondly, based on the LM backpropagation algorithm, a neural network evaluation model is established to reflect the complex nonlinear relationship between the comprehensive evaluation objectives and evaluation index factors of the effectiveness of digital government construction standards; Finally, a comprehensive evaluation of the effectiveness of digital government construction standards is conducted, and the model is reasonable and feasible. With the increase of sample data for evaluating the effectiveness of digital government construction standards, the accuracy of the model evaluation results becomes higher.

Copyright
© 2023 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.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_49How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Yaru Wang
AU  - Liwen Tang
PY  - 2023
DA  - 2023/10/27
TI  - Research on Neural Network Evaluation Model for the Implementation Effect of Digital Government Construction Standards
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 464
EP  - 474
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_49
DO  - 10.2991/978-94-6463-276-7_49
ID  - Wang2023
ER  -