Introducing the hybrid “K-means, RLS” learning for the RBF network in obstructive apnea disease detection using Dual-tree complex wavelet transform based features
Authors
Javad Ostadieh
Faculty of Electrical and Computer Engineering, Urmia University, Urmia
Mehdi Chehel Amirani
Faculty of Electrical and Computer Engineering, Urmia University, Urmia
DOI: https://doi.org/10.2478/joeb-2020-0002 | Journal eISSN: 1891-5469
Language: English
Page range: 4 - 11
Submitted on: Dec 27, 2019
Published on: Mar 18, 2020
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2020 Javad Ostadieh, Mehdi Chehel Amirani, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.