Which of the following is not a feature of a neural network?

a. Neural networks can cope with huge volumes of information with many variables

b. Neural networks can function without complete or well-structured information

c. Neural networks can analyze linear relationships only

d. Neural networks can learn and adjust to new circumstances on their own

Option C is the correct option.

Explanation:

Neural networks are the collection of algorithms that have been approximately patterned since the nervous system and intended to analyze patterns. They perceive neurological information through some form of device perception, marking, or basic input grouping.

So, It can analyze linear relationships only because they depend on the human mind to identify patterns.