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.
Articolo in rivista - Articolo scientifico
Neural Networks, Arima Models, Statistical Quality Control.
English
2001
61
2
301
313
none
Apolloni, B., Zoppis, I., Aleandri, R., Galli, A. (2001). A neural network based procedure for forecasting bovine semen motility. STATISTICA, 61(2), 301-313.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/34827
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