Reducing the complexity of an adaptive radial basis function network with a histogram algorithm-Reference-Cited by-同舟云学术

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Reducing the complexity of an adaptive radial basis function network with a histogram algorithm

Published:2016-05-26 Issue:S1 Volume:28 Page:365-378
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Goh Pey Yun,Tan Shing Chiang,Cheah Wooi Ping,Lim Chee Peng

Funder

Multimedia University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2350-4/fulltext.html

Reference51 articles.

1. Zhang GP (2000) Neural networks for classification: a survey. IEEE Trans Syst Man Cybern Part C Appl Rev 30(4):451–462

2. Karnin ED (1990) A simple procedure for pruning back-propagation trained neural networks. IEEE Trans Neural Netw 1(2):239–242

3. Reed R (1993) Pruning algorithms—a survey. IEEE Trans Neural Netw 4(5):740–747

4. Springer;H Yu,2010

5. Sabo D, Yu X-H (2008) Neural network dimension selection for dynamical system identification. In: IEEE international conference on control applications, pp 972–977

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram;Neural Information Processing;2018

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