CompTIA Security+ Exam Prep

Answer: C - Artificial neural networks (ANN) work as a mathematical model based on the neural structure of the brain. Computers perform actives like calculating large numbers, keeping large ledgers, and performing complex mathematical functions, but they cannot recognize patterns or learn from experiences as the brain can.

ANNs contain many units that simulate neurons, each with a small amount of memory. The units work on data that are input through their many connections. ANNs try to replicate the basic function of neurons and their circuitry to solve problems. They consist of many simple computational neural units connected to each other. An input value is present in one, some, or all the units, which in turn perform functions on the data.