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201	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
202	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
203	JRRD Volume 47, Number 3, 2010 Pages 201–212 Journal of Rehabilitation Research & Development Add to Reading List Source URL: cabrr.cua.edu Language: English - Date: 2010-05-18 10:54:37 Medical equipment Bioengineering Disability Implants Neuroprosthetics Prosthesis Amputation Feedforward control Motor learning Medicine Biology Nervous system
204	Try Feedforward Instead of Feedback Marshall Goldsmith Providing feedback has long been considered to be an essential skill for leaders. As they strive to achieve the goals of the organization, employees need to know how Add to Reading List Source URL: www.marshallgoldsmithlibrary.com Language: English - Date: 2013-03-18 18:30:55 360-degree feedback Criticism Science Electronic engineering Feedforward Behavioral and Cognitive Science Closed system Control theory Feedback Cybernetics
205	1 Draft: to appear in Biological Theory 3:1, dated Winter[removed]MIT Press) [draft, updated March 21, 2008] How to learn multiple tasks Raffaele Calabretta1, Andrea Di Ferdinando1, Domenico Parisi1 Add to Reading List Source URL: gral.ip.rm.cnr.it Language: English - Date: 2013-07-02 08:15:22 Science Neuroscience Artificial neural network Backpropagation Biological neural network Connectionism Cognitive science Types of artificial neural networks Feedforward neural network Neural networks Computational neuroscience Cybernetics
206	IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 2, APRIL[removed]Extreme Learning Machine for Regression and Multiclass Classification Add to Reading List Source URL: www3.ntu.edu.sg Language: English - Date: 2012-03-15 21:51:12 Learning Statistical classification Support vector machines Perceptron Stability Feature selection Feedforward neural network Least squares support vector machine Ranking SVM Machine learning Statistics Neural networks
207	Microsoft Word - SPIE News Article_3502.doc Add to Reading List Source URL: www3.ntu.edu.sg Language: English - Date: 2012-12-17 20:10:14 Cybernetics Network architecture Networks Science Feedforward neural network Support vector machine Machine learning Neural networks Statistics Computational neuroscience
208	doi:[removed]j.sysconle[removed] Add to Reading List Source URL: diegoregruto.com Language: English - Date: 2010-04-10 11:23:33 Science Feedforward control H-infinity methods in control theory Feedback Control theory Systems theory Cybernetics
209	Curriculum Vitae of Diego Regruto Dipartimento di Automatica e Informatica Politecnico di Torino Corso Duca degli Abruzzi[removed]Torino tel[removed]e-mail: [removed] Add to Reading List Source URL: diegoregruto.com Language: English - Date: 2012-10-31 17:08:52 Robust control Cerone Systems theory Science Cybernetics Control theory Automation Feedforward control
210	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

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