Which of these analysis methods describes neural computing?
A)a specialized set of algorithms sorts through data and forms statistical rules about relationships among the items
B)historical data is examined for patterns that are then used to make predictions
C) historical if-then-else cases are used to recognize patterns
D) a mathematical procedure to predict the value of a dependent variable based on a single independent variable

Question

Which of these analysis methods describes neural computing?
A)a ​specialized set of algorithms sorts through data and forms statistical rules about relationships among the items
B)​historical data is examined for patterns that are then used to make predictions
C) ​historical if-then-else cases are used to recognize patterns
D) ​a mathematical procedure to predict the value of a dependent variable based on a single independent variable

Quizplus · Accepted Answer

Neural computing involves examining historical data for patterns and using those patterns to make predictions. It involves the use of artificial neural networks to simulate the workings of the human brain and analyze complex data sets. Therefore, option B is the correct description for neural computing. Option A describes rule-based analysis, Option C describes pattern recognition, and Option D describes linear regression analysis.

Which of These Analysis Methods Describes Neural Computing