is a branch of artificial intelligence that allows computers to recognize and act on patterns or trends.

Neural Networks

Explanation:

Neural networks is a branch of artificial intelligence which recognizes patterns and in this branch the computers are simulated like the human brain. Just like a child recognizes right and wrong through experiences, neural networks allow computers to learn from past patterns and trends to predict what action to take in the future.

Neutral Networks

Explanation:

First, let us fill in the gap from the question, so , we have;

''NEUTRAL NETWORKS is a branch of artificial intelligence that allows computers to recognize and act on patterns or trends ''.

A software called the Neutral Networks which is also known as the Artificial Neural Networks was proposed by Warren McCullough and his co- researcher in the year 1933. It was built in order to perform functions similar to that of the human brain --memory, that is the ability to recognize certain patterns. The first Neural network ever created was known as Perceptron in the year 1957. The neural networks is good for prediction because it can easily detects trends.