PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis-Reference-Cited by-同舟云学术

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PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis

Published:2012-11-07 Issue:3 Volume:37 Page:377-392
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Castaño A.,Fernández-Navarro F.,Hervás-Martínez C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-012-9253-x.pdf

Reference25 articles.

1. Asuncion A, Newman D (2007) UCI machine learning repository. http://www.ics.uci.edu/~mlearn/MLRepository.html . Accessed 8 Sept 2007

2. Cao J, Lin Z, Huang G (2011) Composite function wavelet neural networks with differential evolution and extreme learning machine. Neural Process Lett 33(3): 251–265

3. Chen L, Zhou L, Pung HK (2008) Universal approximation and qos violation application of extreme learning machine. Neural Process Lett 28(2): 81–95

4. Dunn OJ (1961) Multiple comparisons among means. J Am Stat Assoc 56: 52–56

5. Feng G, Huang GB, Lin Q, Gay R (2009) Error minimized extreme learning machine with growth of hidden nodes and incremental learning. IEEE Trans Neural Netw 20(8): 1352–1357

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