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