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An example of back propagation: Diagnosis of dyspepsia

Poster
Data di Pubblicazione:
1989
Abstract:
The authors attempt to apply the back-propagation method (BP), described by Rumelhart and McClelland (1986), to dyspepsia diagnosis. In particular the program utilizes the method with adaptive learning parameters taken from the method adopted by Vogl (1988). The major aim is to identify patients who are suspected of having a neoplastic disease and need further diagnostic testing. The long term aim is to analyze patients suffering from various types of dyspepsia by which symptoms may be connected to pathologies with a low margin of error
Tipologia CRIS:
04.03 Poster in Atti di convegno
Keywords:
Neural Networks; medical diagnosis; backpropagation
Elenco autori:
Arrigo, Patrizio
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/201807
Titolo del libro:
First IEE International Conference on Artificial Neural Network
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