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Discrimination between dietary specializations of bats has been largely analyzed using multivariate techniques such as discriminant and principal component analysis. In this study, models based on an artificial neural network (Multi-layer feed forward neural network) and Binary Logistic Regression (BLR) were compared in their ability to differentiate between insectivorous and frugivorous bats using habitat and morphometric measurements on captured bats. Although both models had similardoi:10.26719/2010.16.6.615 fatcat:3ieqq5njmfgsjgqc2zspemfp5u