Bernard Widrow
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 filter (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. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering. A summary of his work is.
Bernard Widrow | |
|---|---|
Widrow demonstrating the "Knobby Adaline" device (1963) | |
| Born | December 24, 1929 |
| Nationality | American |
| Alma mater | Massachusetts Institute of Technology |
| Scientific career | |
| Fields | Electrical engineering |
| Institutions | Stanford University |
| Doctoral advisor | William Linvill |
| Doctoral students |
|
He is the namesake of "Uncle Bernie's Rule": the training sample size should be 10 times the number of weights in a network.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.