Neural network prediction of fastball velocity in college baseball players

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Abstract Summary
Clinical measures of arm strength and pitch velocity were measured in college pitchers. Correlations to pitch velocity were identified and used to create a regression learner predictive neural network. The neural network allows pitch velocity to be determined within 2.325 mph, without maximum effort throwing. It may allow identification of under/over performing athletes, and projected velocity increases after strength increases/growth.
Submission ID :
UCB1066
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