The set of eucalyptus trees have been classified into three classes,and for each one class is possible to determine, which input variable contributes mostto the amount of paper pulp that can be obtained and predicted by a regressionequation (the wood without crust can be obtained and the amount of bark tree). Theprocess carried out found three functions, which predict the volume of wood. After itshould be check the results obtained by linear regression models, examining the likelihoodratios in the model, as well as, possible correlations between input variables.In this way, it is possible to compare the results obtained through the networks andregression model and the prediction error which is obtained with both mo
đang được dịch, vui lòng đợi..
