delta rule
E1721536
UNEXPLORED
The delta rule is a fundamental learning algorithm in neural networks and adaptive filters that iteratively adjusts connection weights to minimize the difference between predicted and actual outputs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| delta rule canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.