Hagan

Results: 482



#Item
441Conjugate gradient method / Numerical linear algebra / Potential energy / Overfitting / Regularization / Learning / Machine learning / Physics / Statistics

THE JOURNAL OF CHEMICAL PHYSICS 130, 134101 共2009兲 Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks A. Pukrittayakamee,1 M. Malshe,2 M. Hagan,1

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Source URL: hagan.okstate.edu

Language: English - Date: 2009-12-17 20:24:13
442Neuroscience / Recurrent neural network / Backpropagation / Polynomial / Control theory / Backpropagation through time / Types of artificial neural networks / Neural networks / Cybernetics / Science

686 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 20, NO. 4, APRIL 2009 Spurious Valleys in the Error Surface of Recurrent Networks—Analysis and Avoidance

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Source URL: hagan.okstate.edu

Language: English - Date: 2009-12-17 20:19:46
443Science / Backpropagation / Neuroscience / Backpropagation through time / Artificial neural network / Neural networks / Computational neuroscience / Cybernetics

Chapter 12 TRAINING RECURRENT NETWORKS FOR FILTERING AND CONTROL Martin T. Hagan, Orlando De Jesús, Roger Schultz School of Electrical and Computer Engineering Oklahoma State University, Stillwater, Oklahoma

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Source URL: hagan.okstate.edu

Language: English - Date: 2008-01-23 11:12:52
444Conjugate gradient method / Numerical linear algebra / Potential energy / Overfitting / Regularization / Learning / Machine learning / Physics / Statistics

THE JOURNAL OF CHEMICAL PHYSICS 130, 134101 共2009兲 Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks A. Pukrittayakamee,1 M. Malshe,2 M. Hagan,1

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Source URL: hagan.ecen.ceat.okstate.edu

Language: English - Date: 2009-12-17 20:24:13
445Science / Backpropagation through time / Recurrent neural network / Backpropagation / Perceptron / Multilayer perceptron / Algorithm / Gradient descent / Types of artificial neural networks / Neural networks / Cybernetics / Applied mathematics

14 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 1, JANUARY 2007 Backpropagation Algorithms for a Broad Class of Dynamic Networks

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Source URL: hagan.ecen.ceat.okstate.edu

Language: English - Date: 2009-12-17 20:17:10
446Neuroscience / Perceptron / Multilayer perceptron / Backpropagation / Universal approximation theorem / Biological neuron model / Artificial neuron / Feedforward neural network / Neural networks / Cybernetics / Science

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,

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Source URL: hagan.ecen.ceat.okstate.edu

Language: English - Date: 2008-01-23 11:12:54
447Science / Backpropagation through time / Recurrent neural network / Backpropagation / Perceptron / Multilayer perceptron / Algorithm / Gradient descent / Types of artificial neural networks / Neural networks / Cybernetics / Applied mathematics

14 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 1, JANUARY 2007 Backpropagation Algorithms for a Broad Class of Dynamic Networks

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Source URL: hagan.okstate.edu

Language: English - Date: 2009-12-17 20:17:10
448Cirque du Soleil / Apostolic Nuncio to Chile / Chile national football team head to head

CHURCH CLEANING SCHEDULE 2014 Karen Ryan Pat Judge Katie Hagan Jan Putnam Clare Kostelnick

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Source URL: sacredhrt.org

Language: English - Date: 2013-12-31 12:13:52
449Bathinda / Battelle Memorial Institute / United States Department of Energy National Laboratories / Chith Vihar / States and territories of India / Embedded system / Operating system / Workstation

A MODULAR CONTROL SYSTEMS LABORATORY Martin T. Hagan and Carl D. Latino Department of Electrical and Computer Engineering Oklahoma State University Stillwater, Oklahoma[removed]ABSTRACT

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Source URL: hagan.okstate.edu

Language: English - Date: 2008-01-23 11:12:48
450Neuroscience / Perceptron / Multilayer perceptron / Backpropagation / Universal approximation theorem / Biological neuron model / Artificial neuron / Feedforward neural network / Neural networks / Cybernetics / Science

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,

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Source URL: hagan.okstate.edu

Language: English - Date: 2008-01-23 11:12:54
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