Why is sensitivity analysis frequently used for artificial neural networks?
A) because it is required by all major artificial neural networks
B) because some consequences of mistakes by the network might be fatal, so justification may matter
C) because it is generally informative, although it cannot help to identify cause-and-effect relationships among variables
D) because it provides a complete description of the inner workings of the artificial neural network

Question

Quizplus · Accepted Answer

Sensitivity analysis can help identify potential errors and weaknesses in the neural network, which can be critical in applications such as healthcare or finance where errors can be costly or even fatal.

Answer: C
 Sensitivity analysis can provide information about which inputs or variables are most important for the output of the neural network, but it cannot determine causal relationships or specific interactions between variables.

Therefore, the correct answer is B and C.

Why Is Sensitivity Analysis Frequently Used for Artificial Neural Networks