Hagan - PDFSEARCH.IO - Document Search Engine

Hagan
Results: 482

#	Item
431	On-line Least-Squares Training For The Underdetermined Case Roger L. Schultz, [removed], Halliburton Energy Services Martin T. Hagan, [removed], Oklahoma State University Abstra Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:59 Regression analysis Least squares Matrices Mathematical optimization Estimation theory Gauss–Newton algorithm Linear least squares Jacobian matrix and determinant Mathematics Statistics Linear algebra
432	GAUSS-NEWTON APPROXIMATION TO BAYESIAN LEARNING F. Dan Foresee* and Martin T. Hagan** Lucent Technologies Oklahoma City, OK School of Electrical and Computer Engineering Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English* - Date: 2008-01-23 11:12:53 Least squares Computational neuroscience Neural networks Supervised learning Regularization Levenberg–Marquardt algorithm Overfitting Isotope lists 73-96 Perceptron Statistics Machine learning Regression analysis
433	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
434	Optimal Use of Regularization and Cross-validation in Neural Network Modeling Dingding Chen, [removed], Oklahoma State University Martin T. Hagan, [removed], Oklahoma State University Abstrac Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:48 Regularization Overfitting Neural networks Computational statistics Machine learning Statistics Regression analysis
435	Recursive Orthogonal Least Squares Learning with Automatic Weight Selection for Gaussian Neural Networks Meng H. Fun, [removed], Oklahoma State University Martin T. Hagan, [removed], Oklahoma S Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:51 Interpolation Numerical analysis Computational statistics Radial basis function network Numerical linear algebra Radial basis function Recursive least squares filter Gaussian function Orthogonal matrix Mathematics Neural networks Statistics
436	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
437	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 Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:48 Bathinda Battelle Memorial Institute United States Department of Energy National Laboratories Chith Vihar States and territories of India Embedded system Operating system Workstation
438	Optimal Use of Regularization and Cross-validation in Neural Network Modeling Dingding Chen, [removed], Oklahoma State University Martin T. Hagan, [removed], Oklahoma State University Abstrac Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2008-01-23 11:12:48 Regularization Overfitting Neural networks Computational statistics Machine learning Statistics Regression analysis
439	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 Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:52 Science Backpropagation Neuroscience Backpropagation through time Artificial neural network Neural networks Computational neuroscience Cybernetics
440	Training Multi-loop Networks Roger L. Schultz, [removed], Halliburton Energy Services Martin T. Hagan, [removed], Oklahoma State University Orlando De Jesus, [removed], Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2008-01-23 11:12:59 Science Artificial neural network Recurrent neural network Backpropagation Multilayer perceptron Derivative Perceptron Control theory Types of artificial neural networks Neural networks Cybernetics Mathematics

UPDATE