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Recruitment Forecasting Software
This is a fish recruitment prediction software, used to build a robust classifier for fish recruitment prediction with sparse and noisy data. However the software can be used to predict any ecosystem answer where the relation cause effect is unknown but a relation between a number of environmental parameters and the variable to be predicted can be expected.
The methodology consists of 4 steps:
- A semi-automated recruitment discretization method;
- Supervised discretization of predictors;
- Multivariate and non-redundant predictors selection;
- Learning a probabilistic classifier.
Recruitment Forecasting Software
ZIP file to download (8,25 MB) with User Guide (PDF)
Article: Jose A. Fernandes, Xabier Irigoien, Nerea Goikoetxea, Jose A. Lozano, Iñaki Inza, Aritz Pérez and Antonio Bode, 2010. Fish recruitment prediction, using robust supervised classification methods. Ecological Modelling, 221(2): 338-352.
Thesis: Jose A. Fernandes, 2011. Data analysis advances in marine science for fisheries management: Supervised classification applications. Supervisors: Xabier Irigoien, Jose A. Lozano and Iñaki Inza. Ph.D. thesis, University of the Basque Country, San Sebastian, Guipuzkoa, Spain.
ISG group webpage: http://www.sc.ehu.es/ccwbayes/
