Application of Deep Learning in Financial Management Evaluation

The competition among enterprises is becoming increasingly fierce. The research on the financial management evaluation model is helpful for enterprises to find possible risks as soon as possible. This paper constructs the financial management evaluation model based on the deep belief network and app...

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Autores principales:	Wenlei Shi, Lei Xu, Dongli Peng
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/639a8ed8f98140c597df0a2f13dea264
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spelling	oai:doaj.org-article:639a8ed8f98140c597df0a2f13dea2642021-11-15T01:19:32ZApplication of Deep Learning in Financial Management Evaluation1875-919X10.1155/2021/2475885https://doaj.org/article/639a8ed8f98140c597df0a2f13dea2642021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2475885https://doaj.org/toc/1875-919XThe competition among enterprises is becoming increasingly fierce. The research on the financial management evaluation model is helpful for enterprises to find possible risks as soon as possible. This paper constructs the financial management evaluation model based on the deep belief network and applies the analytic hierarchy process to determine the weight of financial management evaluation indicators, which is compared with other classical deep learning evaluation methods, such as KNN, SVM-RBF, and SVM linear. It has achieved an accuracy of more than 81%, showing a satisfactory prediction effect, which is of great significance to formulate corresponding countermeasures, strengthen financial management, improve the capital market system, and promote high-quality economic development. In addition, aiming at the problem of abnormal financial data, this paper uses the new sample dataset obtained by principal component analysis for convolution neural network model learning, which enhances the prediction accuracy of the model and fully shows that deep learning is feasible in the research of financial management prediction, and there is still a lot of space to explore.Wenlei ShiLei XuDongli PengHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Wenlei Shi Lei Xu Dongli Peng Application of Deep Learning in Financial Management Evaluation
description	The competition among enterprises is becoming increasingly fierce. The research on the financial management evaluation model is helpful for enterprises to find possible risks as soon as possible. This paper constructs the financial management evaluation model based on the deep belief network and applies the analytic hierarchy process to determine the weight of financial management evaluation indicators, which is compared with other classical deep learning evaluation methods, such as KNN, SVM-RBF, and SVM linear. It has achieved an accuracy of more than 81%, showing a satisfactory prediction effect, which is of great significance to formulate corresponding countermeasures, strengthen financial management, improve the capital market system, and promote high-quality economic development. In addition, aiming at the problem of abnormal financial data, this paper uses the new sample dataset obtained by principal component analysis for convolution neural network model learning, which enhances the prediction accuracy of the model and fully shows that deep learning is feasible in the research of financial management prediction, and there is still a lot of space to explore.
format	article
author	Wenlei Shi Lei Xu Dongli Peng
author_facet	Wenlei Shi Lei Xu Dongli Peng
author_sort	Wenlei Shi
title	Application of Deep Learning in Financial Management Evaluation
title_short	Application of Deep Learning in Financial Management Evaluation
title_full	Application of Deep Learning in Financial Management Evaluation
title_fullStr	Application of Deep Learning in Financial Management Evaluation
title_full_unstemmed	Application of Deep Learning in Financial Management Evaluation
title_sort	application of deep learning in financial management evaluation
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/639a8ed8f98140c597df0a2f13dea264
work_keys_str_mv	AT wenleishi applicationofdeeplearninginfinancialmanagementevaluation AT leixu applicationofdeeplearninginfinancialmanagementevaluation AT donglipeng applicationofdeeplearninginfinancialmanagementevaluation
_version_	1718428925945708544

Application of Deep Learning in Financial Management Evaluation

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