Who Cited It

Multilayer feedforward networks are universal approximators

1989 · Neural Networks · 21,633 citations · 27 from inside this corpus

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White

No abstract in the source record.

Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Approximation by superpositions of a sigmoidal function (1989)Approximation by superpositio…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Probability and Measure. (1996)Probability and Measure.Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Approximation by superpositions of a sigmoidal function (1989)Approximation by superpositio…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…Identification and control of dynamical systems using neural networks (1990)Identification and control of…Approximation capabilities of multilayer feedforward networks (1991)Approximation capabilities of…Universal Approximation Using Radial-Basis-Function Networks (1991)Universal Approximation Using…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…Neural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…A Comprehensive Survey on Graph Neural Networks (2020)A Comprehensive Survey on Gra…An Introduction to Deep Learning for the Physical Layer (2017)An Introduction to Deep Learn…Generating fuzzy rules by learning from examples (1992)Generating fuzzy rules by lea…Universal approximation bounds for superpositions of a sigmoidal function (1993)Universal approximation bound…Fuzzy basis functions, universal approximation, and orthogonal least-squares learning (1992)Fuzzy basis functions, univer…Hierarchical Mixtures of Experts and the EM Algorithm (1994)Hierarchical Mixtures of Expe…Universal Approximation using Incremental Constructive Feedforward Networks with Random H… (2006)Universal Approximation using…Theory of the backpropagation neural network (1989)Theory of the backpropagation…Universal approximation of an unknown mapping and its derivatives using multilayer feedfo… (1990)Universal approximation of an…Fuzzy logic systems for engineering: a tutorial (1995)Fuzzy logic systems for engin…Wavelet networks (1992)Wavelet networksShortcut learning in deep neural networks (2020)Shortcut learning in deep neu…Extreme learning machines: a survey (2011)Extreme learning machines: a …Neural networks for control systems—A survey (1992)Neural networks for control s…Neural networks for classification: a survey (2000)Neural networks for classific…Machine Learning for Medical Imaging (2017)Machine Learning for Medical …Approximation theory of the MLP model in neural networks (1999)Approximation theory of the M…Temporal difference learning and TD-Gammon (1995)Temporal difference learning …Distributed representations, simple recurrent networks, and grammatical structure (1991)Distributed representations, …
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What this paper cites, inside the corpus

PaperYearCited
Approximation by superpositions of a sigmoidal function198913,884
Multilayer feedforward networks are universal approximators19899,357
Probability and Measure.19966,704

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
Approximation by superpositions of a sigmoidal function198913,884
A Comprehensive Survey on Graph Neural Networks20209,855
Identification and control of dynamical systems using neural networks19908,037
Approximation capabilities of multilayer feedforward networks19916,176
Universal Approximation Using Radial-Basis-Function Networks19914,129
The Limitations of Deep Learning in Adversarial Settings20163,980
Neural Networks and the Bias/Variance Dilemma19923,612
A Comprehensive Survey on Graph Neural Networks20203,307
An Introduction to Deep Learning for the Physical Layer20173,005
Generating fuzzy rules by learning from examples19922,905
Universal approximation bounds for superpositions of a sigmoidal function19932,880
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning19922,800
Hierarchical Mixtures of Experts and the EM Algorithm19942,684
Universal Approximation using Incremental Constructive Feedforward Networks with Random H…20062,636
Theory of the backpropagation neural network19892,239
Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…19902,132
Fuzzy logic systems for engineering: a tutorial19952,112
Wavelet networks19922,099
Shortcut learning in deep neural networks20202,040
Extreme learning machines: a survey20111,932
Neural networks for control systems—A survey19921,871
Neural networks for classification: a survey20001,672
Machine Learning for Medical Imaging20171,668
Approximation theory of the MLP model in neural networks19991,548
Temporal difference learning and TD-Gammon19951,493
Distributed representations, simple recurrent networks, and grammatical structure19911,383

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Topics

Neural Networks and ApplicationsComputer Science
VLSI and FPGA Design TechniquesEngineering
Model Reduction and Neural NetworksPhysics and Astronomy

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  • supports3 author record(s) attached.
  • supports21 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

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