Neural network approximation of continuous functionals and continuous functions on compactifications

This publication has 30 references indexed in Scilit:

• Limitations of the approximation capabilities of neural networks with one hidden layer
  Advances in Computational Mathematics, 1996
• Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks
  IEEE Transactions on Neural Networks, 1995
• Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
  IEEE Transactions on Neural Networks, 1995
• Approximation capability in C(R~/sup n/) by multilayer feedforward networks and related problems
  IEEE Transactions on Neural Networks, 1995
• Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems
  IEEE Transactions on Neural Networks, 1994
• Approximation of dynamical systems by continuous time recurrent neural networks
  Neural Networks, 1993
• Approximation by ridge functions and neural networks with one hidden layer
  Journal of Approximation Theory, 1992
• Approximation of a function and its derivative with a neural network
  Neural Networks, 1992
• Approximation by superpositions of a sigmoidal function
  Mathematics of Control, Signals, and Systems, 1989
• On the approximate realization of continuous mappings by neural networks
  Neural Networks, 1989