Fully complex extreme learning machine-Reference-Cited by-同舟云学术

Fully complex extreme learning machine

Published:2005-10 Issue: Volume:68 Page:306-314
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Ming-Bin,Huang Guang-Bin,Saratchandran P.,Sundararajan N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference13 articles.

1. Channel equalization using adaptive complex radial basis function networks;Cha;IEEE J. Sel. Area. Comm.,1995

2. Learning capability and storage capacity of two-hidden-layer feedforward networks;Huang;IEEE T. Neural Networ.,2003

3. Classification ability of single hidden layer feedforward neural networks;Huang;IEEE T. Neural Networ.,2000

4. G.-B. Huang, C.-K. Siew, Extreme learning machine: RBF network case, in: Proceedings of the Eighth International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), 6–9 December, 2004, Kunming, China.

5. Extreme learning machine with randomly assigned RBF kernels;Huang;Inter. J. Inform. Tech.,2005

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