Neural networks for optimal approximation of continuous functions in ℝ d
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11766-012-2789-8.pdf
Reference13 articles.
1. T P Chen, H Chen, R W Liu. Approximation capability in C(ℝn) by multilayer feedforward networks and related problems, IEEE T Neural Network, 1995, 61: 25–30.
2. W Cheney, W Light. A Course in Approximation Theory, Brooks Cole, Pacific Grove, 2000.
3. K K Chui, X Li. Approximation by ridge functions and neural networks with one hidden layer, J Approx Theory, 1992, 70: 131–141.
4. G Cybenko. Approximation by superposition of sigmoidal functions, Math Control Signals Systems, 1989, 2: 303–314.
5. R DeVore, R Howard, C A Micchelli. Optimal nonlinear approximation, Manuscripta Math, 1989, 63: 303–314.
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