Application of Deep Learning in Financial Management Evaluation

Shi, Wenlei; Xu, Lei; Peng, Dongli

doi:10.1155/2021/2475885

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…e core problem of the enterprise financial situation prediction model based on IDE-DBN is to determine the number of hidden node layers and the weight and bias between layers. e improved DE algorithm enhanced the global search performance and further reduced the local extremum [14].…”

Section: Prediction Modelmentioning

confidence: 99%

Research on Enterprise Financial Management and Prediction System Based on SaaS Model

Zhang¹,

Zhou²

2022

Security and Communication Networks

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In order to supervise and forewarn the sustainable operation ability of enterprises efficiently and accurately, this paper proposes an enterprise financial management and forecasting system based on SaaS model. First of all, in order to continue to effectively predict and analyze the enterprise finance, first analyze and extract the report data in the financial system. Then, by building a deep belief network model to predict the enterprise financial data, in order to reduce the cost of enterprises, the financial system designed in this paper chooses the cloud technology service framework based on SaaS model. Finally, in order to analyze the risk identification performance of the financial management and prediction system in this paper, the risk sample data of an enterprise’s financial system is selected for simulation test. The results show that the correct rate of risk identification of the financial management system designed in this paper is higher than other comparison systems, which speeds up the speed of risk identification of the financial information management system, and has certain practical application value.

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Section: Prediction Modelmentioning

confidence: 99%

Research on Enterprise Financial Management and Prediction System Based on SaaS Model

Zhang¹,

Zhou²

2022

Security and Communication Networks

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“…Testing [17] confirmed that the proposed system was feasible. Shi Wenlei constructed a financial management evaluation model based on a conviction network for predicting enterprise risk, which was verified to have a good predictive effect by hierarchical analysis method to strengthen the financial management, improve the capital market system, and promote the high-quality economic development of enterprises [18].…”

Section: Literature Reviewmentioning

confidence: 98%

Financial Management Strategies for Corporate Investments Based on Integer Linear Programming Models

Zhao,

Wang

2023

Applied Mathematics and Nonlinear Sciences

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This paper first gives the financial management strategy of enterprise investment, mainly from determining the financial management model of enterprise investment, improving the centralized management level of funds and optimizing the enterprise investment decision-making process in three aspects. Then, build the financial management model based on integer linear programming through the enterprise investment theory to find the effective investment of assets, the use of absolute deviation risk measurement model to reduce the risk of investment so that the maximization of returns and maintain the stability of returns. Lastly, we utilize Enterprise B as the research object for empirical analysis. From the analysis of investment efficiency, the increment of total assets and net profit is increasing; the increment of total assets in 2022 is 58 million more than that of 2015, and the increment of net profit in 2022 is 49 million more than that of 2015. The data shows that the financial management strategy of business investment improves the investment efficiency of the company and enhances the overall operation of the company’s space.

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“…Currently, financial management faces many challenges, such as inefficient data processing, financial reporting accuracy, cost control, and risk management [3]. Traditional financial management methods are inefficient in dealing with large-scale complex data, making it difficult to realize fast and accurate decision support [4]. Artificial intelligence technology, especially machine learning and data analysis, is increasingly used in financial management and can help companies automate the processing of large amounts of financial data, improving the efficiency and accuracy of data processing [5].…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence empowers the construction of first-class financial management system

Wang

2024

Applied Mathematics and Nonlinear Sciences

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With the rapid development of artificial intelligence technology, its application in financial management is increasingly widespread. This study aims to explore how to build a first-class financial management system with the help of artificial intelligence technology. We adopt the improved BP algorithm and ant colony algorithm to conduct in-depth research on financial risk early warning, financial analysis and financial forecasting. In terms of financial Risk early warning, a neural network-based risk early warning model is studied, and the improved model increases the prediction accuracy by 15%. The complex correlation between corporate financial status and market performance is found in economic analysis of multiple financial indicators. In terms of financial forecasting, a combination forecasting model is introduced and the weights are optimized by the ant colony algorithm, which improves the accuracy and reliability of the forecast and reduces the forecasting error by 20%. Artificial intelligence technology can effectively improve the efficiency and accuracy of financial management, provide powerful support for enterprise economic decision-making, and provide new ideas for building a first-class financial management system.

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Application of Deep Learning in Financial Management Evaluation

Cited by 8 publications

References 18 publications

Research on Enterprise Financial Management and Prediction System Based on SaaS Model

Research on Enterprise Financial Management and Prediction System Based on SaaS Model

Financial Management Strategies for Corporate Investments Based on Integer Linear Programming Models

Artificial intelligence empowers the construction of first-class financial management system

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