@article{Apolloni_Zoppis_Aleandri_Galli_2001, title={A neural network based procedure for forecasting bovine semen motility}, volume={61}, url={https://rivista-statistica.unibo.it/article/view/1180}, DOI={10.6092/issn.1973-2201/1180}, abstractNote={We present a forecasting procedure based on a specially devised neural network aimed at computing a quality parameter of next semen batch of a given bull from the preceding time series of the same parameter. The procedure has its rationale in a sub symbolic issue of harmonic components analysis and appears more accurate than usual ARIMA systems on a limited bench of experiments.}, number={2}, journal={Statistica}, author={Apolloni, Bruno and Zoppis, Italo and Aleandri, Riccardo and Galli, Andrea}, year={2001}, month={Jan.}, pages={301–313} }