Modern Neural Methods for Function Approximation

Author:

Iatan Iuliana F.

Publisher

Springer International Publishing

Reference17 articles.

1. X.J. Zeng, J.A. Keane, J.Y. Goulermas, and P. Liatsis. Approximation capabilities of hierarchical neural-fuzzy systems for function approximation on discrete spaces. International Journal of Computational Intelligence Research, 1:29–41, 2005.

2. G.A. Anastassiou. Intelligent Systems: Approximation by Artificial Neural Networks. Berlin: Springer-Verlag, 2011.

3. R. Lovassy, L.T. Kóczy, I.J. Rudas, and L. Gál. Fuzzy neural networks as good function approximators. Óbuda University e-Bulletin, 2(1):173–182, 2011.

4. A. Mishra and Z. Zaheeruddin. Design of hybrid fuzzy neural network for function approximation. Journal of Intelligent Learning Systems and Applications, 2(2):97–109, 2010.

5. O. Rudenko and O. Bezsonov. Function approximation using robust radial basis function networks. Journal of Intelligent Learning Systems and Applications, 3:17–25, 2011.

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1. Modern Neural Methods for Function Approximation;Issues in the Use of Neural Networks in Information Retrieval;2016-09-29

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