{"title":"基于人工智能系统经济学的企业会计风险预警模型","authors":"Ya Gui","doi":"10.1109/ICICACS57338.2023.10100315","DOIUrl":null,"url":null,"abstract":"The growth of artificial intelligence(AI) has entered a new stage, of which the financial industry is the most critical, that is, risk control management. In this paper, based on computer technology to build an enterprise financial early warning system. Through the analysis and summary of domestic and foreign literature, expert experience and relevant industrial theories, it is found that there are some problems existing in SMEs in China, such as insufficient funds and other factors that affect their growth prospects and generate risks. At the same time, based on the AI system, the enterprise financial risk early warning(REW) model is designed. Later, the model was simulated and tested. The test results showed that the enterprise financial and accounting REW model based on AI system economics took a fast time to deal with risk events, and the accuracy of risk prediction was up to more than 90%. This shows that the model can meet the needs of users, thus promoting the healthy, orderly and sustainable growth of SMEs.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enterprise Accounting Risk Early Warning Model Based on Artificial Intelligence System Economics\",\"authors\":\"Ya Gui\",\"doi\":\"10.1109/ICICACS57338.2023.10100315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growth of artificial intelligence(AI) has entered a new stage, of which the financial industry is the most critical, that is, risk control management. In this paper, based on computer technology to build an enterprise financial early warning system. Through the analysis and summary of domestic and foreign literature, expert experience and relevant industrial theories, it is found that there are some problems existing in SMEs in China, such as insufficient funds and other factors that affect their growth prospects and generate risks. At the same time, based on the AI system, the enterprise financial risk early warning(REW) model is designed. Later, the model was simulated and tested. The test results showed that the enterprise financial and accounting REW model based on AI system economics took a fast time to deal with risk events, and the accuracy of risk prediction was up to more than 90%. This shows that the model can meet the needs of users, thus promoting the healthy, orderly and sustainable growth of SMEs.\",\"PeriodicalId\":274807,\"journal\":{\"name\":\"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICACS57338.2023.10100315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICACS57338.2023.10100315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enterprise Accounting Risk Early Warning Model Based on Artificial Intelligence System Economics
The growth of artificial intelligence(AI) has entered a new stage, of which the financial industry is the most critical, that is, risk control management. In this paper, based on computer technology to build an enterprise financial early warning system. Through the analysis and summary of domestic and foreign literature, expert experience and relevant industrial theories, it is found that there are some problems existing in SMEs in China, such as insufficient funds and other factors that affect their growth prospects and generate risks. At the same time, based on the AI system, the enterprise financial risk early warning(REW) model is designed. Later, the model was simulated and tested. The test results showed that the enterprise financial and accounting REW model based on AI system economics took a fast time to deal with risk events, and the accuracy of risk prediction was up to more than 90%. This shows that the model can meet the needs of users, thus promoting the healthy, orderly and sustainable growth of SMEs.