Learning Representations by Back-Propagating Errors

Creators

• David Rumelhart, author
• Geoffrey Hinton, author
• Ronald Williams, author

Canon Rationale

A core AI paper, included for backpropagation, representation learning, connectionism, and the history of neural-network training.

Evidence

• citation context: Rumelhart, Hinton, and Williams, 'Learning representations by back-propagating errors,' Nature, 1986.
• handbook: Encyclopaedia Britannica, neural-network and artificial-intelligence reference context.

Audit Flags

version dependency, epistemic status required