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A novel model for pre-warning of enterprise financial crisis based on support vector machine
ZHANG Zai-xu1,SONG Jie-kun1,ZHANG Yu2
(1. College o f Economic and Administratio?! in China University of Petroleum,Dongying 257061,Shandong Province, China ;2. Financial Assets Center of Dongxin Oil Production Plant of Shengli Oilfield,Dongying 257091,Shandong Province,China )
Abstract:
In order to solve the problem of small sample, high dimension, nonlinear and local minimizing of the traditional models perfectly, a novel model for pre-warning of enterprise financial crisis was established based on support vector machine. On the basis of the pre-warning index system, the actual results of enterprises' financial crisis were used as learning samples to train and test the learning machine through cross-validation and grid-search, and an optimal classifier could be obtained, which was the target model. An example testified the simplicity, efficiency and feasibility of the novel model, which supplies a new approach to dynamic pre-warning of enterprise financial crisis.
Key words:  financial crisis  pre-warning  support vector machine  cross-validation  grid-search