Weight-elimination neural networks applied to coronary surgery mortality prediction.

Weight-elimination neural networks applied to coronary surgery mortality prediction.

The objective was to assess the effectiveness of the weight-elimination cost function in improving classification performance of artificial neural networks (ANNs) and to observe how changing the a priori distribution of the training set affects network performance. Backpropagation feedforward ANNs w...

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Detalhes bibliográficos
Publicado no:IEEE Transactions on information technology in biomedicine 7, 2 (2003).
Autor principal: Ennett, C.M
Formato: Artigo
Idioma:English
Assuntos:
A priori distribution.
Artificial neural networks.
Backpropagation feedforward neural networks.
Bypass graft surgery.
Classification performance.
Coronary surgery mortality estimation.
In-hospital mortality.
Pattern classification.
Training set.
Weight-elimination cost function.
Weight-elimination networks.