Name
Abstract | ||
|---|---|---|
Back-propagation networks with feedback mechanisms are studied for event-driven temporal sequence processing. Three types of feedback mechanisms are introduced into a three-layer back-propagation network. These mechanisms are then applied to three temporal sequence processing types that differ in their way of processing: permutation, combination, and integration. The applicability of the back-propagation networks with feedback mechanisms is shown through simulations.<> |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1109/ICNN.1988.23904 | San Diego, CA, USA |
Keywords | Field | DocType |
neural nets,combination,event-driven temporal sequence processing,feedback mechanisms,integration,permutation,three-layer back-propagation network,neural networks,feedback mechanism | Computer science,Permutation,Theoretical computer science,Sequence processing,Artificial neural network,Backpropagation | Conference |
Citations | PageRank | References |
1 | 0.42 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katsunori Shimohara | 1 | 327 | 106.53 |
| Uchiyama, T. | 2 | 28 | 6.18 |
| Tokunaga, Y. | 3 | 23 | 9.38 |