A New Method for Company Failure Prediction Using Proba- bilistic Neural Networks
نویسنده
چکیده
This paper presents a new method for company failure prediction using probabilistic neural networks. The method extracts templates through a supervised learning. Each template represents the companies having similar financial performance. A comparison between a company and a template can find out some financial problems occurring to a company and an early warning can be given if necessary. The method has been applied to a data set of 2408 UK construction companies.
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تاریخ انتشار 2001