DocumentCode :
274183
Title :
An example of back propagation: diagnosis of dyspepsia
Author :
Scalia, F. ; Marconi, L. ; Ridella, S. ; Arrigo, P. ; Mansi, C. ; Mela, G.S.
fYear :
1989
fDate :
16-18 Oct 1989
Firstpage :
332
Lastpage :
336
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
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
Conference_Location :
London
Type :
conf
Filename :
51987
Link To Document :
بازگشت