Adaptive switching circuits

By Bernard Widrow, M. Hoff. 1988

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “Chalmers (1990) evolved a global learning rule (i.e. a rule that applies to every connection) and discovered that the evolved rule was similar to the well-known delta rule, or Widrow-Hoff rule (Widrow et al., 1960), used in backpropagation.”
The importance of better models in stochastic optimization (2019, methodology): “In signal processing, least-mean squares for adaptive filtering is an important instance of the stochastic proximal point method (16, 17).”
Prediction, learning, and games (2006, methodology): “For example, the Widrow–Hoff rule [310] wt = wt−1 − λ(wt−1 · xt − yt ) is equivalent to the gradient-based forecaster using the quadratic potential (i.”
Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data (2020, methodology): “Weights of the neural network are estimated by ack-propagation algorithm, which is also called as the delta rule r a two pass algorithm [87] .”