All About Neural Networks

1      Neural networks are a non-linear data statistical model. This is some light to how artificial neural networks are created. Just like any other network it is a system of functions that combine to make a network. First, the information is inputed for the network to analyze. Next, similarities are found from the information given. Once the similarities are made a decision is to be made from that information.

This pattern finding tool can be a huge benefit to companies. It can help companies to make decisions that they might not have been sure about before. Companies make decisions everyday and if there is a certain pattern it would be easier for companies to choose their next move.

Neural networks use decision making through previous patterns and inputs and outputs. The police tracking crimes in an area and looking to see where more police presence should be based on crime patterns, is an example of neural networks. This makes it easier for police to crack down on crime in areas. It would be a waste of time for police to put presence where crime is not heavy or non existent.