Publisher
Springer Berlin Heidelberg
Reference8 articles.
1. Gallant, A.R., White, H.: On learning the derivatives of an unknown mapping with multilayer feedforward networks. Neural Networks 5, 129–138 (1992)
2. Hornik, K., Stinchcombe, M., White, H.: Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3, 551–560 (1990)
3. Li, X.: Simultaneous approximations of multivariate functions and their derivatives by neural networks with one hidden layer. Neurocomputing 12, 327–343 (1996)
4. Nguyen-Thien, T., Tran-Cong, T.: Approximation of functions and their derivatives: a neural network implementation with applications. Neurocomputing 23, 687–704 (1999)
5. Lázaro, M., Santamaría, I., Pantaleón, C., Ibáñez, J., Vielva, L.: A regularized technique for the simultaneous reconstruction of a function and its derivatives with application to nonlinear transistor modeling. Signal Processing 83, 1859–1870 (2003)