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The Adaline learning ruleupdates weights according to:
The Adaline learning rule
updates weights according to:
Δw= η.(t – Net-input)x
Δw
= η.(t – Net-input)x
Δw= η.f(x)
= η.f(x)
Δw= η.Σx
= η.Σx
Δw= η.x.y
= η.x.y
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