Compensatory fuzzy neural networks-based intelligent detection of abnormal neonatal cerebral Doppler ultrasound waveforms

Abstract

Compensatory fuzzy neural networks (CFNN) without normalization, which can be trained with a backpropagation learning algorithm, are proposed as a pattern recognition technique for the intelligent detection of Doppler ultrasound waveforms of abnormal neonatal cerebral hemodynamics. Doppler ultrasound signals were recorded from the anterior cerebral arteries… (More)
DOI: 10.1109/4233.945289

Topics

10 Figures and Tables

Cite this paper

@article{Seker2001CompensatoryFN, title={Compensatory fuzzy neural networks-based intelligent detection of abnormal neonatal cerebral Doppler ultrasound waveforms}, author={Huseyin Seker and D. H. Evans and Nizamettin Aydin and E. Yazgan}, journal={IEEE Transactions on Information Technology in Biomedicine}, year={2001}, volume={5}, pages={187-194} }