Online stability of backpropagation–decorrelation recurrent learning
- 1 March 2006
- journal article
- Published by Elsevier in Neurocomputing
- Vol. 69 (7-9) , 642-650
- https://doi.org/10.1016/j.neucom.2005.12.012
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Analyzing the weight dynamics of recurrent learning algorithmsNeurocomputing, 2004
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on PerturbationsNeural Computation, 2002
- Local stability of recurrent networks with time-varying weights and inputsNeurocomputing, 2002
- Stability analysis of discrete-time recurrent neural networksIEEE Transactions on Neural Networks, 2002
- New results on recurrent network training: unifying the algorithms and accelerating convergenceIEEE Transactions on Neural Networks, 2000
- Robust local stability of multilayer recurrent neural networksIEEE Transactions on Neural Networks, 2000
- Stable dynamic backpropagation learning in recurrent neural networksIEEE Transactions on Neural Networks, 1999
- Recurrent learning of input-output stable behaviour in function space: a case study with the Roessler attractorPublished by Institution of Engineering and Technology (IET) ,1999
- Gradient calculations for dynamic recurrent neural networks: a surveyIEEE Transactions on Neural Networks, 1995