Artificial neural network versus multiple linear regression:predicting P/B ratios from empirical data

Traditionally, multiple linear regression models (hlLR) are used to predict the somatic production/biomass ( P / B ) ratio of animal populatlons from empirical data of population parameters and environmental variables. Based on data from 899 benthic invertebrate populations, we compared the prediction of PIB by MLR models and by Artlflclal Neural Networks (ANN). The latter showed a slightly (about 6%) but significantly better performance. The accuracy of both approaches was low at the population level, but both MLR and ANN may be used to estimate production and productivity of larger population assemblages such as communities.