Bernard Widrow(1929–2025)

Bernard Widrow was an American professor of electrical engineering at Stanford University known for his work on artificial neural networks. He co-invented the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks, and to the backpropagation technique.

United States
1
Major Awards
227
Publications
25,244
Citations
46
h-index
N/A
i10-index
111.2
Avg Citations/Paper

Recent Publications

View all works
1citations

Cybernetics 2.0

IEEE International Conference on Cognitive Informatics and Cognitive Computing2022
3citations

A General Theory of Adaptivity and Homeostasis in the Brain and in the Body

IEEE International Conference on Cognitive Informatics and Cognitive Computing2021
4citations
0citations

Abstract Intelligence

Cognitive Analytics2020
0citations

Cognitive Intelligence

Deep Learning and Neural Networks2020
0citations

Special issue.

International Journal of Neural Systems2020
0citations
Open Access

Nature's Learning Rule

Artificial Intelligence in the Age of Neural Networks and Brain Computing2018
2citations

Education

Massachusetts Institute of Technology(Master of Science)
Massachusetts Institute of Technology(doctorate)
Massachusetts Institute of Technology(Bachelor of Science)

Doctoral Advisors

Alvy Ray SmithDileep GeorgeParham AarabiRichard MattsonEric Andrew WanRamon Eduardo PrietoAaron E. FloresMaryhelen StevensonJohn Robert TreichlerMichael Gregg LarimoreNegin NejatiWilliam Linvill

Data Sources

Profile data aggregated from Semantic Scholar, Wikidata, and curated award records. Citation metrics may vary between sources.