A conjugate gradient learning algorithm for recurrent neural networks
Authors:
- 28 February 1999
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 24 (1-3) , 173-189
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Minimisation methods for training feedforward neural networksNeural Networks, 1994
- A method for improving the real-time recurrent learning algorithmNeural Networks, 1993
- Function prediction using recurrent neural networks1992
- A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running NetworksNeural Computation, 1992
- Optimization for training neural netsIEEE Transactions on Neural Networks, 1992
- BACKPROPAGATION LEARNING FOR MULTILAYER FEED-FORWARD NEURAL NETWORKS USING THE CONJUGATE GRADIENT METHODInternational Journal of Neural Systems, 1991
- An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network TrajectoriesNeural Computation, 1990
- Backpropagation through time: what it does and how to do itProceedings of the IEEE, 1990
- A Learning Algorithm for Continually Running Fully Recurrent Neural NetworksNeural Computation, 1989
- Experimental Analysis of the Real-time Recurrent Learning AlgorithmConnection Science, 1989