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Universal approximation theorem

Known as: Cybenko Theorem, Universal approximator 
In the mathematical theory of artificial neural networks, the universal approximation theorem states that a feed-forward network with a single hidden… 
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Related topics

Related topics

11 relations
Artificial neural networkComputational learning theoryDeep learningFeedforward neural network

Broader (1)

Network architecture

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Deep neural network for fringe pattern filtering and normalisation
We propose a new framework for processing Fringe Patterns (FP). Our novel approach builds upon the hypothesis that the denoising… 
2015
2015
Predicting distributions with Linearizing Belief Networks
Conditional belief networks introduce stochastic binary variables in neural networks. Contrary to a classical neural network, a… 
2014
2014
An Early Warning System for Turkey: The Forecasting Of Economic Crisis by Using the Artificial Neural Networks
An economic crisis is typically a rare kind of an event but it impedes monetary stability, fiscal stability, financial stability… 
2010
2010
Very Short-Term Load Forecasting Using a Hybrid Neuro-fuzzy Approach
The purpose of this work is to employ the Adaptive Neuro Fuzzy Inference System for performing very short-term load forecasting… 
2006
2006
An Improved robust Adaptive Fuzzy controller for MIMO Systems
This paper addresses robust fuzzy adaptive control for nonlinear multi-input multi-output systems in the presence of parametric… 
2004
2004
Universal Approximator Employing Neo-Fuzzy Neurons
A novel fuzzy neural network, called Fuzzy Kolmogorov’s Network (FKN), is considered. The network consists of two layers of neo… 
2003
2003
A new methodology for evolutionary optimization of energy systems
2003
2003
INTERPOLATION FUNCTIONS OF FEEDFORWARD NEURAL NETWORKS
2003
2003
Control of nonlinear uncertain systems using type-2 fuzzy neural network and adaptive filter
In this paper, a new control scheme using type-2 fuzzy neural network and adaptive filter is proposed for controlling nonlinear… 
2000
2000
Analyses of regular fuzzy neural networks for approximation capabilities
  • Puyin Liu
  • Fuzzy Sets Syst.
  • 2000
  • Corpus ID: 29523558
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