APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]


238


76


119


123

Detailed explanation1: Explanation: The output is found by multiplying the weights with their respective inputs, summing the results and multiplying with the transfer function. Therefore: Output = 2 * (1*4 + 2*10 + 3*5 + 4*20) = 238.
Detailed explanation2: A 4input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2.
Detailed explanation3: All Answers (4) In a normal feedforward ANN with weightedsum neurons, a unit with zero weights and bias is dead and never outputs any signal.
Detailed explanation4: The transfer function translates the input signals to output signals. Four types of transfer functions are commonly used, Unit step (threshold), sigmoid, piecewise linear, and Gaussian. The output is set at one of two levels, depending on whether the total input is greater than or less than some threshold value.