Bernard Widrow and Ted Hoff introduce the Adaline network utilizing delta learning rules for linear optimization. This architecture standardizes the adaptive gradient-descent filtering algorithms heavily used in modern neural training loops.
Part of the 31 Structural Foundations: The Dawn of Computation and Cybernetics Edition archive. HistoricallyVerified
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