1. The best ABC/SVM approach was obtained with SVR with the polynomial kernel, which got a coefficient of determination of 0.9464 for the testing set. The relative relevance of the independent variables in the prediction of HGP was determined: the variable highest treatment temperature (HTT) proved to be the most direct outstanding in the estimation of HGP. Finally, the HGP values estimated with this approximation concur with the dataset actual values. To conclude, these techniques can be used with different types of biomass in similar or different bioenergy energy systems conversion methods satisfactorily. However, it must be kept in mind the kinds of biomass and experimental environment. Thus, this hybrid ABC/SVM model is an excellent method for the foretelling of HGP;J Garc�a Paulino;Methodology. Paulino J. Garc�a Nieto
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