Neural networks differ from expert systems in that they can ________.
A)perform sophisticated calculations
B)ask questions to the decision-maker
C)learn from experience
D)draw conclusions from data

Question

Quizplus · Accepted Answer

Expert systems are based on a set of rules and facts programmed by human experts, while neural networks are designed to learn from data and adjust their own algorithms based on experience. Therefore, neural networks have the ability to learn and improve from experience, which is not a characteristic of expert systems. Additionally, neural networks are better suited for processing large amounts of complex data and can make sophisticated calculations and draw conclusions from that data, which is not a strength of expert systems. Asking questions to the decision-maker is not a defining characteristic of either neural networks or expert systems.

Neural Networks Differ from Expert Systems in That They Can