Neural networks are composed of artificial neurons or artificial nodes. Neurophysiologist Warren McCulloch and logician Walter Pitts invented the first artificial node in 1943. Biological neural networks are composed of either one group or multiple groups that are chemically connected to other neurons. The number of neurons that are connected together can get quite large. Neural networking takes on a different approach with problem solving than a standard computer will. They take on many statistical and science problems to solve.
A neural network tends to process information similar to that of a human brain. It does not store information into its memory bank. Instead it stores information as patterns throughout the structure. A neural network will learn by an example that it is given; yet they cannot be programmed to perform specific duties. The more conclusions that a neural network can make, the better conclusions it can make. The network in the computer consists of interconnecting neurons that work together to solve specific problems.
Neural Networks are now considered as the most effective artificial intelligence technology for pattern recognition and they are also being used for a wide variety of reasons within the business world. Neural network technology is found in operating in financial institutions, oil and gas cooperation’s, manufacturing companies, insurance companies, and even in airline security controls, just to name a few.
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