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Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning

This paper aims at the whole-process tracking audit problem of “special bonds + PPP” mode (hereinafter referred to as “special bonds + PPP”) in public infrastructure construction projects and establishes an audit evaluation prediction model based on the theory and method of machine learning. Firstly...

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Detalles Bibliográficos
Autor principal: Fang, Qianru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388285/
https://www.ncbi.nlm.nih.gov/pubmed/35990144
http://dx.doi.org/10.1155/2022/4174473
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author Fang, Qianru
author_facet Fang, Qianru
author_sort Fang, Qianru
collection PubMed
description This paper aims at the whole-process tracking audit problem of “special bonds + PPP” mode (hereinafter referred to as “special bonds + PPP”) in public infrastructure construction projects and establishes an audit evaluation prediction model based on the theory and method of machine learning. Firstly, based on expert interviews and the actual working process of “special bonds + PPP,” the comprehensive evaluation index system of the whole process tracking audit is established. Secondly, innovate audit technology methods and apply machine learning theories and methods such as support vector machine, back propagation neural network, multinomial logistic regression, and random forest to the whole tracking audit of “special bonds + PPP.” Finally, the real case evaluation sample data are selected, and the four established models, that is, SVM, BP, Multinom, and RF, are trained and predicted. After comparative analysis, the RF model with the highest accuracy is selected as the evaluation prediction model.
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spelling pubmed-93882852022-08-19 Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning Fang, Qianru Comput Intell Neurosci Research Article This paper aims at the whole-process tracking audit problem of “special bonds + PPP” mode (hereinafter referred to as “special bonds + PPP”) in public infrastructure construction projects and establishes an audit evaluation prediction model based on the theory and method of machine learning. Firstly, based on expert interviews and the actual working process of “special bonds + PPP,” the comprehensive evaluation index system of the whole process tracking audit is established. Secondly, innovate audit technology methods and apply machine learning theories and methods such as support vector machine, back propagation neural network, multinomial logistic regression, and random forest to the whole tracking audit of “special bonds + PPP.” Finally, the real case evaluation sample data are selected, and the four established models, that is, SVM, BP, Multinom, and RF, are trained and predicted. After comparative analysis, the RF model with the highest accuracy is selected as the evaluation prediction model. Hindawi 2022-08-11 /pmc/articles/PMC9388285/ /pubmed/35990144 http://dx.doi.org/10.1155/2022/4174473 Text en Copyright © 2022 Qianru Fang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fang, Qianru
Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning
title Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning
title_full Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning
title_fullStr Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning
title_full_unstemmed Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning
title_short Research on the Audit Prediction Model of “Special Bonds + PPP” Project based on Machine Learning
title_sort research on the audit prediction model of “special bonds + ppp” project based on machine learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388285/
https://www.ncbi.nlm.nih.gov/pubmed/35990144
http://dx.doi.org/10.1155/2022/4174473
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