Approximation theory and recurrent networks

Publisher Website

2 January 2003

proceedings article
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 2, 266-271
https://doi.org/10.1109/ijcnn.1992.226997

Abstract

No abstract available

This publication has 8 references indexed in Scilit:

Approximation theory and feedforward networks
Neural Networks, 1991
Stability in contractive nonlinear neural networks
IEEE Transactions on Biomedical Engineering, 1990
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
Neural Computation, 1989
Learning State Space Trajectories in Recurrent Neural Networks
Neural Computation, 1989
On the approximate realization of continuous mappings by neural networks
Neural Networks, 1989
Multilayer feedforward networks are universal approximators
Neural Networks, 1989
Convergent activation dynamics in continuous time networks
Neural Networks, 1989
Neurons with graded response have collective computational properties like those of two-state neurons.
Proceedings of the National Academy of Sciences, 1984