Bernard Widrow
From Wikipedia, the free encyclopedia
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.
[edit] Publication
- 1965 A critical comparison of two kinds of adaptive classification networks (together with Karl Steinbuch)
[edit] Books
- 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.
[edit] Honors
- Elected Fellow IEEE, 1976
- Elected Fellow AAAS, 1980
- IEEE Centennial Medal, 1984
- IEEE Alexander Graham Bell Medal, 1986
- IEEE Neural Networks Pioneer Medal, 1991
- Inducted into the National Academy of Engineering, 1995
- IEEE Signal Processing Society Award, 1999
- IEEE Millennium Medal, 2000
- Benjamin Franklin Medal, 2001
 |
This article about an American engineer, inventor or industrial designer is a stub. You can help Wikipedia by expanding it. |
