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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發表在:	IEEE Transactions on information technology in biomedicine 7, 2 (2003).
主要作者:	Ennett, C.M
格式:	Article
語言:	English
主題:	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.