Dynamic recurrent neural networks: Theory and applications
This special issue illustrates both the scientific trends of the early work in recurrent neural networks, and the mathematics of training when at least some recurrent terms of t...
Publications
3 shownA Learning Algorithm for Continually Running Fully Recurrent Neural Networks
The exact form of a gradient-following learning algorithm for completely recurrent networks running in continually sampled time is derived and used as the basis for practical al...
Learning Internal Representations by Error Propagation
This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 20,667
- Institution
- Northeastern University
External Links
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.