What is a defining characteristic of 'neural networks'?

A defining characteristic of neural networks is that they are computer systems modeled on the human brain and nervous system. This design is inspired by the interconnected network of neurons in the brain, which allows for complex processing of information. Neural networks are capable of learning from data, recognizing patterns, and making predictions based on the input they receive, much like how our brain functions in processing information and experiences.

In contrast, other options describe different concepts not specific to neural networks. Linear algorithms refer to methods that operate within a straight-line mathematical structure, which does not capture the complexity and flexibility of neural networks. Business intelligence encompasses a range of analytical methods, but it is not limited to or defined by neural networks specifically. Similarly, database management pertains to techniques for storing and organizing data, which is unrelated to the processing capabilities and structure of neural networks. Thus, the unique attribute of being modeled after the human brain distinguishes neural networks from other computational methods.