Q3Soft Computing
Question
2 marks
Q.3. With the help of an example, state the role of bias in determining the net output of an Artificial Neural Network.
Answer
Bias is an additional constant input (weight times a fixed input of 1) added to the weighted sum before the activation function, shifting the activation function's threshold. For example, in net = w1x1 + w2x2 + b, the bias b allows the neuron to output a non-zero value even when x1=x2=0, shifting the decision boundary away from the origin and giving the network greater flexibility to fit the training data.