{"title":"基于自组织映射神经网络的中石化及其子公司财务危机预测指标分类方法","authors":"D. Yu, Sun Tao","doi":"10.1109/ICCIS.2012.333","DOIUrl":null,"url":null,"abstract":"The prediction of financial distress has received considerable attention in accounting and corporate financial literatures for decades. Various quantitative prediction methods based on financial ratios derived from financial statements have been proposed. This paper uses SOM neural network technology to quantitatively classify the financial distress prediction indexes in Sinopec Corp. and its subsidiaries, which is particularly important for the financial distress prediction modeling process. The Case study of Sinopec Yizheng Chemical Fibre Company Limited is carried out at section 4. And the statistics result shows that even for the same enterprise, the contents and the numbers of the selected evaluation indexes in financial distress prediction model are different during the different periods the enterprise enters.","PeriodicalId":269967,"journal":{"name":"2012 Fourth International Conference on Computational and Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Method of Classification for Financial Distress Prediction Indexes of Sinopec Corp. and Its Subsidiaries Based on Self-Organizing Map Neural Network\",\"authors\":\"D. Yu, Sun Tao\",\"doi\":\"10.1109/ICCIS.2012.333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The prediction of financial distress has received considerable attention in accounting and corporate financial literatures for decades. Various quantitative prediction methods based on financial ratios derived from financial statements have been proposed. This paper uses SOM neural network technology to quantitatively classify the financial distress prediction indexes in Sinopec Corp. and its subsidiaries, which is particularly important for the financial distress prediction modeling process. The Case study of Sinopec Yizheng Chemical Fibre Company Limited is carried out at section 4. And the statistics result shows that even for the same enterprise, the contents and the numbers of the selected evaluation indexes in financial distress prediction model are different during the different periods the enterprise enters.\",\"PeriodicalId\":269967,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2012.333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2012.333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Method of Classification for Financial Distress Prediction Indexes of Sinopec Corp. and Its Subsidiaries Based on Self-Organizing Map Neural Network
The prediction of financial distress has received considerable attention in accounting and corporate financial literatures for decades. Various quantitative prediction methods based on financial ratios derived from financial statements have been proposed. This paper uses SOM neural network technology to quantitatively classify the financial distress prediction indexes in Sinopec Corp. and its subsidiaries, which is particularly important for the financial distress prediction modeling process. The Case study of Sinopec Yizheng Chemical Fibre Company Limited is carried out at section 4. And the statistics result shows that even for the same enterprise, the contents and the numbers of the selected evaluation indexes in financial distress prediction model are different during the different periods the enterprise enters.