DocumentCode :
1496129
Title :
Comments on "Classification ability of single hidden layer feedforward neural networks"
Author :
Sandberg, I.W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume :
12
Issue :
3
fYear :
2001
fDate :
5/1/2001 12:00:00 AM
Firstpage :
642
Lastpage :
643
Abstract :
The original paper, by Huang, Chen Babri (ibid., vol.11, p.799-801, 2000), addresses a certain classification problem, and concludes that classification can be achieved using a single hidden layer neural network. It is stated that the author previously presented conclusions along similar lines in a more general setting ("General structures for classification," IEEE Trans. Circuits Syst. I, vol.41, p.372-6, 1994).
Keywords :
feedforward neural nets; multilayer perceptrons; pattern classification; classification ability; single hidden layer feedforward neural networks; Artificial neural networks; Boolean functions; Feedforward neural networks; Hypercubes; Linear programming; Neural networks; Neurons; Supervised learning;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.925569
Filename :
925569
Link To Document :
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