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Bernard Widrow (born December 24, 1929) is a U.S. professor of electrical engineering at Stanford University. He is the co-inventor of the Widrow-Hoff Least Mean Squares (LMS) adaptive algorithm with his then doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique.

1965 A critical comparison of two kinds of adaptive classification networks (together with Karl Steinbuch)

1985 B. Widrow and S. D. Stearns. Adaptive Signal Processing. New Jersey: Prentice-Hall, Inc., 1985.
1994 B. Widrow and E. Walach. Adaptive Inverse Control. New Jersey: Prentice-Hall, Inc., 1994.

Preceded by Charles K. Kao	IEEE Alexander Graham Bell Medal 1986	Succeeded by Joel S. Engel, Richard H. Frenkiel and William C. Jakes, Jr.

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 '''Bernard Widrow''' (born [[December 24]], [[1929]]) is a [[U.S.]] professor of [[electrical engineering]] at [[Stanford University]].  He is the co-inventor of the Widrow-Hoff Least Mean Squares ([[Least mean squares filter|LMS]]) adaptive algorithm with his then doctoral student [[Marcian Hoff|Ted Hoff]].  The LMS algorithm led to the ADALINE and MADALINE [[artificial neural networks]] and to the [[backpropagation]] technique.