 Financial risk early warning method for modern manufacturing enterprises based on RBF neural networkYanyan Cao International Journal of Manufacturing Technology and Management, 2025, vol. 39, issue 3/4/5, 183-194 Abstract: To detect potential financial risks in advance, reduce the rate of missed and false alarms in risk warning, and improve the accuracy of warning, a modern manufacturing enterprise financial risk warning method based on RBF neural network is proposed. Firstly, network coding methods are used to collect financial data such as total asset turnover rate, current ratio, and net profit margin of modern manufacturing enterprises. Secondly, the K-nearest neighbour method is used to remove outliers from the above data to improve the accuracy of risk warning results. Finally, based on the financial data of modern manufacturing enterprises and the financial risk warning results, a financial risk warning model is constructed using RBF neural network to achieve financial risk warning. The research results indicate that the method has low false positives and false positives rate, and a high F1 value, which is beneficial for improving the accuracy and effectiveness of enterprise management decisions. Keywords: RBF neural network; modern manufacturing enterprises; financial risk warning; network coding; K-nearest neighbour method. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:39:y:2025:i:3/4/5:p:183-194 Access Statistics for this article More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd |
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