Author:
Nan Dong,Wu Wei,Long Jin Ling,Ma Yu Mei,Sun Lin Jun
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Mathematics
Reference24 articles.
1. Mhaskar, H. N., Micchelli, A.: Approximation by superposition of sigmoidal and radial basis function. Advances in Applied Mathematics, 13, 350–370 (1992)
2. Leshno, M., Lin, Y. V., Pinkus, A., Schocen, S.: Multilayer feedforward networks with a non-polynomial activation function can approximate any function. Neural Networks, 6, 861–867 (1993)
3. Chen, T.: Approximate problem on neural networks and its application in system recognise. Science in China, Series A (in Chinese), 24(1), 1–7 (1994)
4. Chen, T., Chen, H.: Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems. IEEE Trans. Neural Networks, 6(4), 918–928 (1995)
5. Chen, T., Chen, H., Liu, R.: Approximation capability in by multilayer feedforward networks and related problems. IEEE Trans. Neural Networks, 6(1), 25–30 (1995)