An example of back propagation: Diagnosis of dyspepsia (Abstract/Poster in convegno)

Type
Label
  • An example of back propagation: Diagnosis of dyspepsia (Abstract/Poster in convegno) (literal)
Anno
  • 1989-01-01T00:00:00+01:00 (literal)
Alternative label
  • F Scalia, L Marconi, S Ridella, P Arrigo, C Mansi, GS Mela (1989)
    An example of back propagation: Diagnosis of dyspepsia
    in First IEE International Conference on Artificial Neural Network, London, Oct. 16-18
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • F Scalia, L Marconi, S Ridella, P Arrigo, C Mansi, GS Mela (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • First IEE International Conference on Artificial Neural Network (literal)
Note
  • INSPEC (literal)
  • Poster (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR Istituto per i Circuiti Elettronici Dip, Medicina Interna Universit'degli studi di Genova (literal)
Titolo
  • An example of back propagation: Diagnosis of dyspepsia (literal)
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 (literal)
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