Not enough data to create a plot.
Try a different view from the menu above.
Schley, Charles
Neural Networks Structured for Control Application to Aircraft Landing
Schley, Charles, Chauvin, Yves, Henkle, Van, Golden, Richard
A recurrent back-propagation neural network architecture was then designed to numerically estimate the parameters of an optimal nonlinear control law for landing the aircraft. The performance of the network was then evaluated.
Neural Networks Structured for Control Application to Aircraft Landing
Schley, Charles, Chauvin, Yves, Henkle, Van, Golden, Richard
A recurrent back-propagation neural network architecture was then designed to numerically estimate the parameters of an optimal nonlinear control law for landing theaircraft. The performance of the network was then evaluated.
Neural Networks Structured for Control Application to Aircraft Landing
Schley, Charles, Chauvin, Yves, Henkle, Van, Golden, Richard
A recurrent back-propagation neural network architecture was then designed to numerically estimate the parameters of an optimal nonlinear control law for landing the aircraft. The performance of the network was then evaluated.