Compensatory fuzzy neural networks based intelligent detection of abnormal neonatal cerebral Doppler ultrasound waveforms
Date
2001-09-01
Authors
Advisors
Journal Title
Journal ISSN
ISSN
1089-7771
Volume Title
Publisher
IEEE Transactions on Information Technology in Biomedicine
Type
Article
Peer reviewed
Abstract
Description
This paper presents further development of a compensatory fuzzy model whereby a new set of compensatory factors were defined and a non-normalised version of the model was introduced. The new model was shown to be comparable in many ways with other classical methods such as artificial neural networks and to yield better results. It was also the first to discuss application of the old and enhanced versions of the models in biomedicine. The paper has been widely accepted by the research community whose focus is on the compensatory fuzzy system with/without biomedical application.
Keywords
RAE 2008, UoA 23 Computer Science and Informatics, backpropagation learning, blood-flow velocity, Doppler ultrasound, fuzzy neural networks, neonatal cerebral arteries, pattern recognition, principal component analysis
Citation
Seker, H., et al. (2001) Compensatory fuzzy neural networks based intelligent detection of abnormal neonatal cerebral Doppler ultrasound waveforms. IEEE Transactions on Information Technology in Biomedicine, 5(3), pp. 187-194.