Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Michael Fairbank

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Neural Computation|December 16, 2011
Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networksMichael Fairbank, Eduardo Alonso
IEEE Transactions on Neural Networks and Learning Systems|October 8, 2014
Clipping in neurocontrol by adaptive dynamic programmingMichael Fairbank, Danil Prokhorov, Eduardo Alonso
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networksMichael Fairbank, Eduardo Alonso, Danil Prokhorov
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
An equivalence between adaptive dynamic programming with a critic and backpropagation through timeMichael Fairbank, Eduardo Alonso, Danil Prokhorov
Neural Networks : the Official Journal of the International Neural Network Society|October 29, 2013
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbancesMichael Fairbank, Shuhui Li, Xingang Fu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 20, 2024
Neurocontrol for fixed-length trajectories in environments with soft barriersMichael Fairbank, Danil Prokhorov, David Barragan-Alcantar, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected ConverterXingang Fu, Shuhui Li, Michael Fairbank, et al.
IEEE Transactions on Cybernetics|February 26, 2019
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated ResultsShuhui Li, Hoyun Won, Xingang Fu, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Artificial neural networks for control of a grid-connected rectifier/inverter under disturbance, dynamic and power converter switching conditionsShuhui Li, Michael Fairbank, Cameron Johnson, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neural Computation|December 16, 2011
Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networksMichael Fairbank, Eduardo Alonso
IEEE Transactions on Neural Networks and Learning Systems|October 8, 2014
Clipping in neurocontrol by adaptive dynamic programmingMichael Fairbank, Danil Prokhorov, Eduardo Alonso
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networksMichael Fairbank, Eduardo Alonso, Danil Prokhorov
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
An equivalence between adaptive dynamic programming with a critic and backpropagation through timeMichael Fairbank, Eduardo Alonso, Danil Prokhorov
Neural Networks : the Official Journal of the International Neural Network Society|October 29, 2013
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbancesMichael Fairbank, Shuhui Li, Xingang Fu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 20, 2024
Neurocontrol for fixed-length trajectories in environments with soft barriersMichael Fairbank, Danil Prokhorov, David Barragan-Alcantar, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 21, 2014
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected ConverterXingang Fu, Shuhui Li, Michael Fairbank, et al.
IEEE Transactions on Cybernetics|February 26, 2019
Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated ResultsShuhui Li, Hoyun Won, Xingang Fu, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Artificial neural networks for control of a grid-connected rectifier/inverter under disturbance, dynamic and power converter switching conditionsShuhui Li, Michael Fairbank, Cameron Johnson, et al.
Pageof 1