Approximation by neural networks with sigmoidal functions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s10114-013-1730-2.pdf
Reference20 articles.
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3. Cao, F.-L., Xie, T.-F., Xu, Z.-B.: The estimate for approximation error of neural networks: A constructive approach. Neurocomputing, 71, 626–636 (2008)
4. Chen, T.-P., Chen, H.: Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to a dynamic system. IEEE Trans. Neural Netw., 6, 911–917 (1995)
5. Chen, Z.-X., Cao, F.-L., The approximation operators with sigmoidal functions. Comput. Math. Appl., 58, 758–765 (2009)
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