Qualitative modelling of time series using self-organizing maps: application to animal science

Authors:
Emilio Soria;Jose D. Martin;Carlos Fernandez;Rafael Magdalena;Antonio J. Serrano;Álvaro Moreno
Affiliations:
Departamento de Ingeniería Electrónica, E.T.S.E, University of Valencia, Valencia;Departamento de Ingeniería Electrónica, E.T.S.E, University of Valencia, Valencia;Departamento Producción Animal, Universidad Cardenal Herrera CEU, Valencia, Spain;Departamento de Ingeniería Electrónica, E.T.S.E, University of Valencia, Valencia;Departamento de Ingeniería Electrónica, E.T.S.E, University of Valencia, Valencia;Departamento de Ingeniería Electrónica, E.T.S.E, University of Valencia, Valencia
Venue:
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Year:
2006

Citing 3
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Abstract

In this work, a new methodology for modeling qualitative temporal processes, is proposed. In this development, two stages are considered. First, models are obtained and adapted fitting their free parameters according to the existing time series. Second, Self-Organizing Maps (SOM) are used to establish a clustering of the data using the parameters obtained in the first stage. This methodology is successfully applied to a problem of milk yield prediction in goat herds.