Function Approximation

Predicting Sport Injuries and Player Performance Using Neural Networks

Mr. Murphy has integrated NeuroSolutions neural networks into several areas of professional sports including forecasting risk of injury, player performance and classifying match strategies. He uses approximately 20 to 30 different breadboards (including a mixture of classification and function approximation networks) such as: Multilayer Perceptron (MLP), Radial Basis Function (RBF), Modular Networks and Principal Component Analysis (PCA) networks for pre-processing. For predicting risk of injury the network occupies approximately 25 inputs including training loads over a 3-week period, wellness (i.e. fatigue, sleep quality & stress), pain & comfort ratings (i.e. foot, ankle, calf, groin, etc.) and player conditioning.

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