Prediction of Sports Performance based on Genetic Algorithm and Artificial Neural Network

Biao Xu · International Journal of Digital Content Technology and its Applications · 2012

In order to predict sports performance more accurately, we investigated the recent algorithms, and proposed a hybrid prediction system based on genetic algorithm and artificial neural network (GANN). This is the first paper using the GANN to predict sport performance. We created a database of 1000 samples by questionnaire and physical test. The dataset was divided into two categories of training set (30%) and test set (70%). The experiments demonstrate the MSE of our method achieves as small as 26.637 on the training set and 32.334 on the test set. Moreover, the training time only costs 1.563s.

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