Neural networks outperfom expert systems in uncovering ________.
A)credit card fraud
B)false positives for pregnancy
C)potential credit card customers
D)credit problems in bank mortgages

Question

Quizplus · Accepted Answer

Neural networks are highly efficient in detecting patterns in large sets of data, making them effective in identifying credit card fraud. Expert systems, on the other hand, rely on pre-defined rules and logic to make decisions, which may be limited in their ability to identify complex patterns and anomalies.

Other options:

B) False positives for pregnancy may not necessarily require the use of neural networks, as more traditional statistical methods may be sufficient for identifying and reducing false positives. 
C) Identifying potential credit card customers may involve analyzing certain demographic and financial variables, but this may not necessarily require the use of highly complex neural networks. 
D) Neural networks may be useful in detecting credit problems in bank mortgages, but this would depend on the specific variables and factors being analyzed.

Neural Networks Outperfom Expert Systems in Uncovering ________