Learning in Recurrent Finite Difference Networks
- 1 January 1991
- book chapter
- Published by Elsevier
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- Some experiments on learning stable network oscillationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- A Learning Algorithm for Continually Running Fully Recurrent Neural NetworksNeural Computation, 1989
- A learning algorithm for analog, fully recurrent neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Learning state space trajectories in recurrent neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Generalization of back-propagation to recurrent neural networksPhysical Review Letters, 1987
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984