The application of Artificial Neural Network and k-Nearest Neighbour classification models in the scouting of high-performance archers from a selected fitness and motor skill performance parameters

摘要

Objective. - The utilization of artificial intelligence has been demonstrated in the literature to be effective for classification and prediction. Nevertheless, the application of k-Nearest Neighbour (k-NN) and Artificial Neural Network (ANN) specifically the conventional feed forward Multilayer Perceptron (MLP) model for forecasting and scouting of high-performance archers have not been fully utilized. The current investigation predicted high and low-performance archers from a set of selected fitness and motor skill parameters trained on two distinct machine learning algorithms viz. ANN and k-NN.