A common type of artificial neural network is the backpropagational neural network. Neural networks are computing systems comprised of highly interconnected processing elements for means of calculation.
Backpropagational neural networks work by comparing an externally known answer to an internally developed solution and compensating for the inaccuracy in its next attempt to calculate the solution. This supervised learning process allows it to increase its computational efficiency by changing the way it approaches the problem or pattern at hand.
Artificial neural networks can be used for predictive data analysis. Neural networks can be used in a variety of industries for statistical analysis and data interpretation.