AI topics Explore related entries. Larger tags appear on more entries.
Neural networks Training methods Representation learning The contribution The paper explained how errors at a network output could guide weight changes in earlier layers. Its examples showed that a multilayer network could learn internal features, helping make gradient-based learning a practical research direction.
What this does not establish This influential paper did not invent every form of reverse-mode differentiation or all earlier uses of backpropagation. Credit for the broader history is shared.
Why this date? The Nature paper was published on 9 October 1986.
This entry follows the linked publication. Read the source and date conventions.
The original work Learning representations by back-propagating errors
Authors David E. Rumelhart, Geoffrey E. Hinton and Ronald J. Williams Publication Nature, 323, 533–536 Source type Journal article The links above support the description and dating of this entry. Full text may be open or publisher-restricted.
Cited By Atlas entries whose reference lists cite this work or the publication version noted below.
Finite State Automata and Simple Recurrent Networks (1989) Cites Rumelhart, Hinton and Williams (1986), Nature 323, 533-536, using a variant title. The publisher DOI resolves to the original Atlas paper. Check the reference list .
Support-vector networks (1995) Cites Rumelhart, Hinton and Williams (1986), Nature 323, 533-536, using a variant title. The separately listed PDP chapter is a different work. Check the reference list .
Efficient Estimation of Word Representations in Vector Space (2013) Reference 26 cites Rumelhart, Hinton and Williams (1986), Nature 323, 533-536, using a variant title. Check the reference list .
TensorFlow: A system for large-scale machine learning (2016) Reference 64 gives a 1988 Cognitive Modeling citation but links to the original Nature paper. The Atlas dates the 1986 original. Check the reference list .
Citations Works in the Atlas cited by this entry.
Bibliography coverage: Reference section indexed. Open the source .
Reference section extracted from the linked source. Only reviewed matches to existing Atlas works become citation links; extraction may retain typographic or column-order artifacts.
Read the indexed bibliography Publisher references 1. Rosenblatt, F. Principles of Neurodynamics (Spartan, Washington, DC, 1961).
2. Minsky, M. L. & Papert, S. Perceptrons (MIT, Cambridge, 1969).
3. Le Cun, Y. Proc. Cognitiva 85, 599–604 (1985).
4. Rumelhart, D. E., Hinton, G. E. & Williams, R. J. in Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. 1: Foundations (eds Rumelhart, D. E. & McClelland, J. L.) 318–362 (MIT, Cambridge, 1986).
Download the bibliography index · Download Atlas citation links
These links cover verified matches within the Atlas. They are not total scholarly citation counts. A citation alone does not establish that the later system implements the same method.
Comments
Discuss this research, ask a question, or suggest a correction. Comments appear after the site owner approves them.
Moderate comments
Loading comments…
Sign in with ChatGPT to comment
Use your OpenAI account. Published comments show the display name you choose, not your account email.