Name
Abstract | ||
|---|---|---|
The backpropagation algorithm can be used for both recognition and generationof time trajectories. When used as a recognizer, it has been shownthat the performance of a network can be greatly improved by addingstructure to the architecture. The same is true in trajectory generation.In particular a new architecture corresponding to a "reversed" TDNN isproposed. Results show dramatic improvement of performance in the generationof hand-written characters. Acombination of TDNN and... |
Year | Venue | Keywords |
|---|---|---|
1991 | ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 4 | backpropagation algorithm |
Field | DocType | Volume |
Architecture,Computer science,Time delay neural network,Artificial intelligence,Backpropagation,Trajectory,Machine learning,Encoding (memory) | Conference | 4 |
Citations | PageRank | References |
11 | 4.75 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrice Simard | 1 | 1268 | 621.43 |
| Yann LeCun | 2 | 26090 | 3771.21 |