Generalized <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg" display="inline" id="d1e7215"><mml:mi>M</mml:mi></mml:math>-sparse algorithms for constructing fault tolerant RBF networks-Reference-Cited by-同舟云学术

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Generalized M-sparse algorithms for constructing fault tolerant RBF networks

Published:2024-12 Issue: Volume:180 Page:106633
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Wong Hiu-Tung,Mai Jiajie^ORCID,Wang Zhenni,Leung Chi-Sing

Publisher

Elsevier BV

Reference57 articles.

1. Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees;Anam;Neural Networks,2017

2. Automatic digital modulation recognition based on genetic-algorithm-optimized machine learning models;Ansari;IEEE Access,2022

3. Radial basis function network configuration using genetic algorithms;Billings;Neural Networks,1995

4. Neural networks for pattern recognition;Bishop,1995

5. Iterative thresholding for sparse approximations;Blumensath;Journal of Fourier Analysis and Applications,2008

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