EMCO Case Study Sheet_Layout 1

Source URL: www.ceat.okstate.edu

• Oklahoma State University
• Oklahoma State University–Stillwater
• Automation
• Conveyor system
• Engineering
• Oklahoma
• Technology
• Association of Public and Land-Grant Universities
• North Central Association of Colleges and Schools

ASSOCIATE PROFESSOR JEANNE HOMER RECEIVES THE[removed]INTERNATIONAL EDUCATION FACULTY EXCELLENCE AWARD Associate Professor Jeanne Homer has been selected as the recipient of the[removed]International Education Faculty

Source URL: architecture.ceat.okstate.edu

• Professor
• Titles
• Knowledge
• Association of Public and Land-Grant Universities
• Oklahoma State University
• North Central Association of Colleges and Schools
• Oregon State University Extended Campus
• Education
• Academia
• Academic administration

-76835-17462500COLLEGE OF Engineering, Architecture, and Technology CEAT Scholars Program Benefits

Source URL: www.okcareertech.org

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

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

• 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

On-line Least-Squares Training For The Underdetermined Case Roger L. Schultz, [removed], Halliburton Energy Services Martin T. Hagan, [removed], Oklahoma State University Abstra

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

• Regression analysis
• Least squares
• Matrices
• Mathematical optimization
• Estimation theory
• Gauss–Newton algorithm
• Linear least squares
• Jacobian matrix and determinant
• Mathematics
• Statistics
• Linear algebra

GAUSS-NEWTON APPROXIMATION TO BAYESIAN LEARNING F. Dan Foresee* and Martin T. Hagan** *Lucent Technologies Oklahoma City, OK **School of Electrical and Computer Engineering

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

• Least squares
• Computational neuroscience
• Neural networks
• Supervised learning
• Regularization
• Levenberg–Marquardt algorithm
• Overfitting
• Isotope lists
• 73-96
• Perceptron
• Statistics
• Machine learning
• Regression analysis

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

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

• Regularization
• Overfitting
• Neural networks
• Computational statistics
• Machine learning
• Statistics
• Regression analysis

XFLR5による計算結果と実験値との比較 Revision 1.1 – Copyright A. Deperrois – October 2009 日本語訳：稲川貴大 – 2011年2月 CEAT Matthieu Scherrer

Source URL: www.xflr5.com

Neural Networks for Control Martin T. Hagan School of Electrical & Computer Engineering Oklahoma State University [removed] Howard B. Demuth

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

• Neuroscience
• Perceptron
• Backpropagation
• Multilayer perceptron
• Activation function
• Biological neuron model
• Universal approximation theorem
• Control theory
• Artificial neuron
• Neural networks
• Cybernetics
• Science

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

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

• Bathinda
• Battelle Memorial Institute
• United States Department of Energy National Laboratories
• Chith Vihar
• States and territories of India
• Embedded system
• Operating system
• Workstation