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Widrow and Hoff: adaptive switching circuits

Contribution grade

Neural and deep learning · METHOD

Reference score120,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Presented error-driven trainable adaptive switching circuits and ADALINE demonstrations.

Scientific scope

The record is the exact two-author 1960 WESCON paper. It does not absorb the perceptron, all later least-mean-squares formulations or modern multilayer neural networks, and its demonstrations remain bounded to the circuits and tasks reported.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact two-author 1960 WESCON paper. It does not absorb the perceptron, all later least-mean-squares formulations or modern multilayer neural networks, and its demonstrations remain bounded to the circuits and tasks reported.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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