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Explain the perceptron learning with example.
written 9.0 years ago by gravatar for teamques10 teamques10 ★ 70k modified 3.8 years ago by gravatar for pedsangini276 pedsangini276 • 4.8k

Mumbai University > Computer Engineering > Sem 7 > Soft Computing

Marks: 5 Marks

Year: May 2016
soft computing
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written 9.0 years ago by gravatar for teamques10 teamques10 ★ 70k

The Perceptron learning algorithm has been proved for pattern sets that are known to be linearly separable.

No such guarantees exist for the linearly non-separable case because in weight space, no solution cone exists. When the set of training patterns is linearly non-separable, then for any set of weights, W. …

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