Verified claim · AI-ML · 100% confidence
Backpropagation algorithm popularized in: Rumelhart, Hinton, Williams 1986 — Nature paper.
Last verified 2026-05-16 · Methodology veritas-v0.1 · e5471a750d13a672
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Structured fields
- Subject
- Backpropagation algorithm
- Predicate
popularized_in- Object
- Rumelhart, Hinton, Williams 1986 — Nature paper
- Confidence
- 100%
- Tags
- backpropagation · rumelhart · hinton · williams · foundational · 1986 · introduced_in · nature
Sources (2)
[1] peer reviewed · Nature (Rumelhart, Hinton, Williams) · 1986-10-09
Learning representations by back-propagating errors“We describe a new learning procedure, back-propagation, for networks of neurone-like units. The procedure repeatedly adjusts the weights of the connections in the network so as to minimize a measure of the difference between the actual output vector of the net and the desired output vector.”
[2] docs · Wikipedia · 1986-10-09
Backpropagation historyWikipedia is rated by SourceScore — see its reliability →
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curl https://sourcescore.org/api/v1/claims/e5471a750d13a672.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/e5471a750d13a672.json");
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// "Backpropagation algorithm popularized in: Rumelhart, Hinton, Williams 1986 — Nature paper."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/e5471a750d13a672.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Backpropagation algorithm popularized in: Rumelhart, Hinton, Williams 1986 — Nature paper."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_backpropagation_algorithm_fact() -> dict:
"""Fetch the verified SourceScore claim for Backpropagation algorithm."""
r = httpx.get("https://sourcescore.org/api/v1/claims/e5471a750d13a672.json")
return r.json()