Sanger rule

E2185147 UNEXPLORED

The Sanger rule is a neural network learning algorithm that extends Oja’s rule to extract multiple principal components through a hierarchical, decorrelating update scheme.

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All labels observed (1)

Label	Occurrences
Sanger rule canonical	1

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Oja rule → relatedTo → Sanger rule ⓘ