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Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings

Data up to Jan 2025

Published1990
Citations688
References33

Total Citations Per Year

Abstract

References (33)

Multilayer feedforward networks are universal approximators

1989 • 18,606 citations

Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations

1986 • 15,232 citations

Approximation by superpositions of a sigmoidal function

1989 • 12,384 citations

Real and Complex Analysis.

1987 • 11,498 citations

Multilayer feedforward networks are universal approximators

1989 • 9,696 citations

Cross-Validatory Choice and Assessment of Statistical Predictions

1974 • 8,849 citations

On the approximate realization of continuous mappings by neural networks

1989 • 4,187 citations

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

2015 • 3,217 citations

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

1971 • 2,313 citations

Theory of the backpropagation neural network

1989 • 2,066 citations

Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks

1990 • 2,005 citations

Smoothing noisy data with spline functions

1975 • 1,496 citations

Asymptotic Theory for Econometricians.

1988 • 1,473 citations

Introductory Real Analysis.

1971 • 1,469 citations

Approximation of functions

2017 • 1,205 citations

Learning in Artificial Neural Networks: A Statistical Perspective

1989 • 927 citations

Semi-Nonparametric Maximum Likelihood Estimation

1987 • 926 citations

Introduction to Non-Linear Optimization

1985 • 772 citations

Real and Complex Analysis

2018 • 624 citations

Asymptotic Theory for Econometricians

1984 • 602 citations

Asymptotic Optimality for $C_p, C_L$, Cross-Validation and Generalized Cross-Validation: Discrete Index Set

1987 • 522 citations

Nonparametric and Semiparametric Methods in Econometrics and Statistics

1991 • 377 citations

A completely automatic french curve: fitting spline functions by cross validation

1975 • 365 citations

Nonparametric Maximum Likelihood Estimation by the Method of Sieves

1982 • 358 citations

Kernel estimators of regression functions

2008 • 270 citations

Approximation of functions

1966 • 268 citations

A new approach for finding the global minimum of error function of neural networks

1989 • 259 citations

Universal approximation using feedforward networks with non-sigmoid hidden layer activation functions

1989 • 257 citations

Construction of neural nets using the radon transform

1989 • 161 citations

Stochastic convergence

1976 • 123 citations

Multivariate Smoothing Spline Functions

1984 • 106 citations

Some Measurability Results for Extrema of Random Functions Over Random Sets

1992 • 92 citations

Statistical properties of artificial neural networks

2003 • 80 citations

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Connectionist nonparametric regression: Multilayer feedforward networks can learn… (1990) – Neural Networks | Metascience Observatory Explorer