ADALINE and the least-mean-squares rule
Bernard Widrow and Marcian Hoff described an adaptive element that learns from examples by minimising error.
Why it matters
Least-mean-squares updating became one of the basic techniques that later neural-network training reused.
The paper covers a single adaptive element and its hardware realisation. It does not address training multilayer networks.