Question: Apply the perceptron learning rule to train the following network: 21 ] P1 = 0 t1 = 1 P2 = t1 = 0 P3 =

Apply the perceptron learning rule to train the following network: 21

Apply the perceptron learning rule to train the following network: 21 ] P1 = 0 t1 = 1 P2 = t1 = 0 P3 = t1 = 0 2 2 The initial weight vector is (1 -0.8] and bias = 0 The hardlimit function: a =1 if n >= 0 and a = 0 if n

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