Bernard Widrow

E660931

Bernard Widrow is an American electrical engineer and pioneer in adaptive signal processing and neural networks, best known for co-inventing the LMS algorithm and Widrow-Hoff learning rule.

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Bernard Widrow canonical 2

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Predicate Object
instanceOf American engineer
human
university professor
academicDiscipline electrical engineering
authorOf Adaptive Inverse Control (book)
Adaptive Signal Processing (book)
Numerous journal articles on adaptive filters and neural networks
awardReceived IEEE Alexander Graham Bell Medal
IEEE Jack S. Kilby Signal Processing Medal
IEEE Neural Networks Pioneer Award
coInvented ADALINE
LMS algorithm
MADALINE
Widrow–Hoff learning rule
coInventorWith Ted Hoff
countryOfCitizenship United States of America
educatedAt Massachusetts Institute of Technology
employer Stanford University
familyName Widrow
fieldOfWork adaptive signal processing
control systems
electrical engineering
machine learning
neural networks
signal processing
givenName Bernard
hasAcademicAdvisor Norbert Wiener
honor IEEE Fellow
influenced development of modern adaptive signal processing
early neural network research
knownFor ADALINE neural network
LMS algorithm
MADALINE neural network
Widrow–Hoff learning rule
delta rule
least mean squares adaptive filter
pioneering work in adaptive filters
pioneering work in neural networks
memberOf Institute of Electrical and Electronics Engineers
name Bernard Widrow
nationality American
notableConcept adaptive control
adaptive filter
adaptive noise cancelling
learning rule for perceptrons
workInstitution Stanford University

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Referenced by (2)

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

Marcian Hoff notableStudentOf Bernard Widrow
Bernard Widrow name Bernard Widrow