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

Question

Quizplus · Accepted Answer

Neural networks have the ability to learn from experience and improve their performance over time based on feedback. Expert systems, on the other hand, rely on predefined rules and knowledge provided by human experts to make decisions or draw conclusions. While both types of systems may perform sophisticated calculations, only neural networks have the ability to learn and adapt based on new data. Asking questions to a decision maker is a feature of decision support systems, not neural networks or expert systems.

Neural Networks Differ from Expert Systems in That They Can