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Estimating Bankruptcy Using Neural Networks Trained with Hidden Layer Learning ...

Neves, João Carvalho das; Vieira, Armando

The Hidden Layer Learning Vector Quantization (HLVQ), a recent algorithm for training neural networks, is used to correct the output of traditional MultiLayer Preceptrons (MLP) in estimating the probability of company bankruptcy. It is shown that this method improves the results of traditional neural networks and outperforms substantially the discriminant analysis in predicting one-year advance bankruptcy. We a...

Data: 2004   |   Origem: Repositório da UTL

A Comparison of the IAS and the Accounting Standards in Europe and US for the R...

Neves, João Carvalho das

In June 2000 the European Commission issued an updated strategy on accounting harmonisation, which was approved in June 2002 by the European Parliament. The regulation 1606/2002 states that by 2005 all listed companies in the European Union, including banks and insurance companies should conform to the international accounting standards (IAS). As a consequence it is important to analyse national standards in Eu...

Data: 2004   |   Origem: Repositório da UTL


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