Asymptotic complexity of an RBF NN for correlated data representation
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/3-540-61510-5_16.pdf
Reference9 articles.
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4. N. Murata, S. Yoshizawa, and S. Amari. Network information criterion — determining the number of hidden units for an artificial neural network model. IEEE Trans. on Neural Networks, 5(6):865–872, 1994.
5. L. Sardo and J. Kittler. Maximum likelihood estimators for gaussian mixtures model selection. Submitted to Neural Networks.
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