Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Leistritz, L; Galicki, M; Kochs, E; Zwick, EB; Fitzek, C; Reichenbach, JR; Witte, H.
Application of generalized dynamic neural networks to biomedical data.
IEEE Trans Biomed Eng. 2006; 53(11):2289-2299
Doi: 10.1109/TBME.2006.881766
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- Co-Autor*innen der Med Uni Graz
- Zwick Bernhard-Ernst
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- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Biomedical Engineering - methods
- Databases, Factual - methods
- Diagnosis, Computer-Assisted - methods
- Information Storage and Retrieval - methods
- Neural Networks (Computer) - methods
- Pattern Recognition, Automated - methods
- Signal Processing, Computer-Assisted - methods
- Find related publications in this database (Keywords)
- classification of temporal sequences
- dynamic neural networks (DNNs)
- optimal control
- pattern recognition