A genetic-ELM neural network computational method for diagnosis of the Parkinson disease gait dataset

DOI10.1080/00207160.2019.1607842zbMath1479.92003OpenAlexW2937947435WikidataQ128045621 ScholiaQ128045621MaRDI QIDQ5030540

Abir Alharbi

Publication date: 17 February 2022

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2019.1607842

zbMATH Keywords

classificationneural networksgenetic algorithmsfeature selectionextreme learning machineParkinson's diseasecomputer-aided diagnosisgait data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial neural networks and deep learning (68T07) Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50) Computational methods for problems pertaining to biology (92-08)

Uses Software

• DistAl
• Genocop
• ReliefF

Cites Work

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• Trends in extreme learning machines: a review
• Theoretical and empirical analysis of ReliefF and RReliefF
• A Branch and Bound Algorithm for Feature Subset Selection
• A note on genetic algorithms for large-scale feature selection
• DistAl: An inter-pattern distance-based constructive learning algorithm

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