19 August 1993 Stanford neural network research
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Abstract
Linear and nonlinear adaptive filtering algorithms are described, along with applications to signal processing and control problems such as prediction, modeling, inverse modeling, equalization, echo cancelling, noise cancelling, and inverse control.
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Bernard Widrow, Bernard Widrow, Michael Lehr, Michael Lehr, Francoise Beaufays, Francoise Beaufays, Eric Wan, Eric Wan, Michel Bilello, Michel Bilello, } "Stanford neural network research", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); doi: 10.1117/12.152613; https://doi.org/10.1117/12.152613
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