Application of generalized dynamic neural networks to biomedical data.

Dokumenttyp:: Journal Article
Autor(en):: Leistritz, L; Galicki, M; Kochs, E; Zwick, EB; Fitzek, C; Reichenbach, JR; Witte, H
Titel:: Application of generalized dynamic neural networks to biomedical data.
Abstract:: This paper reviews the application of continuous recurrent neural networks with time-varying weights to pattern recognition tasks in medicine. A general learning algorithm based on Pontryagin's maximum principle is recapitulated, and possibilities of improving the generalization capabilities of these networks are given. The effectiveness of the methods is demonstrated by three different real-world examples taken from the fields of anesthesiology, orthopedics, and radiology.
Zeitschriftentitel:: IEEE Trans Biomed Eng
Jahr:: 2006
Band / Volume:: 53
Heft / Issue:: 11
Seitenangaben Beitrag:: 2289-99
Sprache:: eng
PubMed:: http://view.ncbi.nlm.nih.gov/pubmed/17073335
Print-ISSN:: 0018-9294
TUM Einrichtung:: Klinik für Anästhesiologie (DHM)
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