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

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Answer:

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.

The option that's not a feature of a neural network is C. Neural networks can analyze linear relationships only.

Neutral networks simply refer to the collection of algorithms that have been patterned to analyze patterns.

Neural networks can cope with huge volumes of information with many variables and they can function without complete or well-structured information

It should be noted that neural networks cannot analyze linear relationships only. Therefore, the correct option is C.

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