Application of generalized dynamic neural networks to biomedical data.

Title:: Application of generalized dynamic neural networks to biomedical data.
Document type:: Journal Article
Author(s):: Leistritz, L; Galicki, M; Kochs, E; Zwick, EB; Fitzek, C; Reichenbach, JR; Witte, H
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.
Journal title abbreviation:: IEEE Trans Biomed Eng
Year:: 2006
Journal volume:: 53
Journal issue:: 11
Pages contribution:: 2289-99
Language:: eng
Pubmed ID:: http://view.ncbi.nlm.nih.gov/pubmed/17073335
Print-ISSN:: 0018-9294
TUM Institution:: Klinik für Anästhesiologie (DHM)
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