This work made predictions of tree diameters of eucalyptus species with artificial neural networks Multiple Layers Perceptron. Recursively estimates are these diameters up to the value of 4 cm using only three steps diameter at the base and without the need knowledge of the total height of the tree. The training was conducted with only 10% of the total planted site. The performance of the proposed model was satisfactory when compared with the diameters predicted actual diameters.
Text in Portuguese, Original Title: Predicao Recursiva De Diametros Utilizando Redes Neurais Artificiais Para calculo De Volumes Comerciais De Clones De Eucalipto.