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- W2891986304 abstract "Study of financial distress prediction problem. There are many variables affecting the financial dilemma, and choosing reasonable input variables is the key to improve the financial distress prediction accuracy.In order to solve the problem that the input variables selection is not reasonable, causing low precision of financial difficulties prediction, the paper put forward a corporate financial distress prediction method based on genetic algorithm and support vector machine(GA-SVM), and selected the realistic data to do the empirical analysis on the model. The experimental results show thatythe GA-SVM prediction method of enterprise financial distress can improve the financial distress prediction accuracy." @default.
- W2891986304 created "2018-09-27" @default.
- W2891986304 creator A5043530686 @default.
- W2891986304 date "2013-01-01" @default.
- W2891986304 modified "2023-09-27" @default.
- W2891986304 title "Prediction financial distress of firms based on GA-SVM" @default.
- W2891986304 hasPublicationYear "2013" @default.
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