摘要：It is suggested in this paper generating SOM as one that could be applied for forecasting of bankruptcy classes for other than trained companies. The various aspects of the proposed Neuro-discrimi-nate model based on the multiple discriminate analysis, supervised learning neural network and self-orga-nizing maps are analyzed. There is compared how accuracy of prediction changes executing algorithm with different discriminate models of bankruptcy: Springate, Zmijewski and Shumway.
