Assessing the utility value of Hucul horses using classification models, based on artificial neural networks.

ABSTRACT: The aim of this study was to evaluate factors influencing the performance of Hucul horses and to develop a prediction model, based on artificial neural (AI) networks for predict horses' classification, relying on their performance value assessment during the annual Hucul championships. The Feedforward multilayer artificial neural networks, learned using supervised methods and implemented in Matlab programming environment were applied. Artificial neural networks with one and two hidden layers with different numbers of neurons equipped with a tangensoidal transition function, learned using the Levenberg-Marqiuardt method, were applied for the analysis. Although results showed that 7-year-old horses had the highest number of wins, the 11-year-old horses were observed to have had the best resu

SUBMITTER: Topczewska J 

PROVIDER: S-EPMC9321442 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature