An Improved Fuzzy Neural Network for Ultrasonic Motors Control
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
When does online BP training converge?
IEEE Transactions on Neural Networks
Soft sensor modeling of AlCl3•6H2O content based on powell-BP
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks
Neural Processing Letters
Deterministic convergence of an online gradient method with momentum
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Hi-index | 0.00 |
A gradient method with momentum for two-layer feedforward neural networks is considered. The learning rate is set to be a constant and the momentum factor an adaptive variable. Both the weak and strong convergence results are proved, as well as the convergence rates for the error function and for the weight. Compared to the existing convergence results, our results are more general since we do not require the error function to be quadratic.