Convergence in perceptron learning takes place if and only if:(a) a minimal error condition is satisfied(b) actual output is close to desired output(c) classes are linearly separable(d) all of the mentionedThis question was addressed to me by my school teacher while I was bunking the class.Asked question is from Pattern Classification in section Feedforward Neural Networks of Neural Networks

Convergence in perceptron learning takes place if and only if:(a) a mi

1.	Convergence in perceptron learning takes place if and only if:(a) a minimal error condition is satisfied(b) actual output is close to desired output(c) classes are linearly separable(d) all of the mentionedThis question was addressed to me by my school teacher while I was bunking the class.Asked question is from Pattern Classification in section Feedforward Neural Networks of Neural Networks
Answer» Right answer is (C) CLASSES are LINEARLY separable The BEST I can explain: Linear separability of classes is the condition for CONVERGENCE of weighs in perceprton learning.

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