APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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238
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76
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119
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123
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Detailed explanation-1: -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 explanation-2: -A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2.
Detailed explanation-3: -All Answers (4) In a normal feed-forward ANN with weighted-sum neurons, a unit with zero weights and bias is dead and never outputs any signal.
Detailed explanation-4: -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.