A neural network based procedure for forecasting bovine semen motility
AbstractWe 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.
How to Cite
Apolloni, B., Zoppis, I., Aleandri, R., & Galli, A. (2001). A neural network based procedure for forecasting bovine semen motility. Statistica, 61(2), 301–313. https://doi.org/10.6092/issn.1973-2201/1180