Pattern Classification
Pattern Classification
Pattern Classification
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Total no. of WeightsError per pattern with the increase in number of hidden nodes.• 2-n H -1 network (with bias) trained on 90 2D-Gaussian patterns (n =180) from each class (sampled from mixture of 3 Gaussians)• Minimum test error occurs at 17-21 weights in total (4-5 hiddennodes). This illustrates the rule of thumb that n/10 weights often giveslowest error