Question

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 mentioned

This 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 1

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.