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Universal approximation theorem
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#	Item
1	E cient Agnostic Learning of Neural Networks with Bounded Fan-in Wee Sun Leey, Student Member, IEEE Peter L. Bartlettz, Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 04:22:20 Applied mathematics Universal approximation theorem Feedforward neural network Convex function Combinatory logic Artificial neural network Perceptron Neural networks Mathematics Mathematical analysis
2	Challenges in Bioinformatics Classification of Non-Ribosomal Peptide Syntheses with Feed-Forward Neural Networks Dan Ariel Søndergaard Torben Muldvang Andersen Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2014-02-11 09:14:24 Mathematics Artificial neural network Backpropagation Universal approximation theorem Activation function Feedforward neural network Recurrent neural network Neural networks Cybernetics Statistics
3	Neural Networks for Control Martin T. Hagan School of Electrical & Computer Engineering Oklahoma State University [removed] Howard B. Demuth Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2009-12-17 20:18:53 Neuroscience Perceptron Backpropagation Multilayer perceptron Activation function Biological neuron model Universal approximation theorem Control theory Artificial neuron Neural networks Cybernetics Science
4	Neural Networks for Control Martin T. Hagan School of Electrical & Computer Engineering Oklahoma State University [removed] Howard B. Demuth Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2009-12-17 20:18:53 Neuroscience Perceptron Backpropagation Multilayer perceptron Activation function Biological neuron model Universal approximation theorem Control theory Artificial neuron Neural networks Cybernetics Science
5	AN INTRODUCTION TO THE USE OF NEURAL NETWORKS IN CONTROL SYSTEMS MARTIN T. HAGAN1, HOWARD B. DEMUTH2 AND ORLANDO DE JESÚS1 1 School of Electrical & Computer Engineering, Oklahoma State University, Stillwater, Oklahoma, Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:54 Neuroscience Perceptron Multilayer perceptron Backpropagation Universal approximation theorem Biological neuron model Artificial neuron Feedforward neural network Neural networks Cybernetics Science
6	AN INTRODUCTION TO THE USE OF NEURAL NETWORKS IN CONTROL SYSTEMS MARTIN T. HAGAN1, HOWARD B. DEMUTH2 AND ORLANDO DE JESÚS1 1 School of Electrical & Computer Engineering, Oklahoma State University, Stillwater, Oklahoma, Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:54 Neuroscience Perceptron Multilayer perceptron Backpropagation Universal approximation theorem Biological neuron model Artificial neuron Feedforward neural network Neural networks Cybernetics Science
7	IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 17, NO. 4, JULY[removed]Universal Approximation Using Incremental Constructive Feedforward Networks Add to Reading List Source URL: www3.ntu.edu.sg Language: English - Date: 2006-07-05 10:03:46 Mathematics Feedforward neural network Backpropagation Artificial neuron Activation function Universal approximation theorem Radial basis function Types of artificial neural networks Multilayer perceptron Neural networks Machine learning Cybernetics
8	High-Accuracy Value-Function Approximation with Neural Networks Applied to the Acrobot R´emi Coulom CORTEX group, LORIA Nancy, France Add to Reading List Source URL: remi.coulom.free.fr Language: English - Date: 2004-05-11 09:46:36 Statistics Feedforward neural network Reinforcement learning Artificial neuron Q-learning Artificial neural network Universal approximation theorem Neural networks Machine learning Cybernetics
9	“Multilayer feedforward networks are universal approximators” Kur Hornik, Maxwell Stinchcombe and Halber White (1989) Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-09 14:47:01 Universal approximation theorem Stone–Weierstrass theorem Activation function Function Continuous function Feedforward neural network Neural networks Mathematics Mathematical analysis
10	Neural Networks for Control Martin T. Hagan School of Electrical & Computer Engineering Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2009-12-17 20:18:53 Neuroscience Perceptron Backpropagation Multilayer perceptron Activation function Universal approximation theorem Biological neuron model Control theory Artificial neuron Neural networks Cybernetics Science

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