Which option is NOT a benefit derived from the use of neural networks?

A.
Linearity

B.
Input-Output Mapping

C.
Adaptivity

D.
Fault Tolerance

Explanation:
Linearity: “If the sum of the weighted inputs then exceeds the threshold, the neuron will “fire” and
there will be an output from that neuron. An alternative approach would be to have the output of
the neuron be a linear function of the sum of the artificial neuron inputs.” Input-Output Mapping:
“For example, if a specific output vector was required for a specific input where the relationship

between input and output was non-linear, the neural network would be trained by applying a set of
input vector.” Adaptivity: “The neural network would have then be said to have learned to provide
the correct response for each input vector.” Pg. 261 Krutz: The CISSP Prep Guide