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In this paper, we have established one credit risk evaluation model based on learning vector quantization respectively. This model is used to identify two patterns samples of Chinese listed companies, including training samples of 285 listed companies (59 companies with special treatment and 226 normal companies) and test samples of 117 listed companies(29 companies with special treatment and 88 normal...
In this paper, we have established and compared two credit risk evaluation models based on self-organizing feature map neural network and learning vector quantization respectively. The models are used to identify two patterns samples of Chinese listed companies, including training samples of 285 listed companies (59 companies with special treatment and 226 normal companies) and test samples of 117...
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