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Compute the sum of product (s). The input of neurons are x1,x2 and synaptic weights are w1,w2 respectively, bias b and desired output d are
Compute the sum of product (s). The input of neurons are x1,x2 and synaptic weights are w1,w2 respectively, bias b and desired output d are initialized with the following values. Where, x1=0.1,x2=0.3,w1=0.5,w2=0.2,b=1.83,d=0.03 :The new weight for perceptron learning algorithm is Compute the prediction Error ( E ). The input of neurons are 1,2 and synaptic weights are w1, w2 respectively; bias b and desired output d are initialized with the following values. Where x1=0.1,x2=0.3,w1=0.5,w2=0.2,b=1.83,d=0.03
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