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Neural networks are computer programs modeled on the interaction of nerve cells in the human brain.
The main advantage of this artificial intelligence system over more traditional techniques is that these programs are able to learn from experience. When applied to psychometric test development, information taken from questionnaire responses can be combined with performance data to produce a set of items that give the best prediction of the desired outcome. The technique has been repeatedly shown to have benefits over more traditional item selection procedures in that it is better able to cope with complex interactions among items, and with ipsative data. Other commercial uses of neural networks today include stock market prediction and fraud detection. Neural network technology will be used to model team performance and improve the Orpheus TPQ team selection and development tool going forward.