Summary: 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.
Apolloni, B., Zoppis, I., Aleandri, R., Galli, A. (2001). A neural network based procedure for forecasting bovine semen motility. STATISTICA, 61(2), 301-313.
A neural network based procedure for forecasting bovine semen motility.
ZOPPIS, ITALO FRANCESCO;
2001
Abstract
Summary: 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.
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