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- W606736663 abstract "For comparing the prediction accuracy of company financial crisis prediction models, the support vector machine model was introduced in this paper to predict that whether there exists financial crisis in a company or not. Through the acquisition of a large number of samples for training and testing, the specific example's results demonstrate that the financial crisis warning model based on support vector machine can effectively predict the financial crisis. The forecast accuracy of the training samples and testing sample respectively are 94.5% and 93.9%, which is better than the neural network model. 0 i i y b x w y b x w x f " @default.
- W606736663 created "2016-06-24" @default.
- W606736663 creator A5081921694 @default.
- W606736663 date "2015-01-01" @default.
- W606736663 modified "2023-09-27" @default.
- W606736663 title "Research of the enterprise financial risk based on support vector machine" @default.
- W606736663 cites W1983693965 @default.
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- W606736663 doi "https://doi.org/10.2991/icsste-15.2015.231" @default.
- W606736663 hasPublicationYear "2015" @default.
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