Prediction models for product distribution and bio-oil heating value of biomass pyrolysis, were established in this paper using some artificial intelligence algorithms, i.e. artificial neural network (ANN) and support vector machine (SVM). Correlated samples about biomass pyrolysis were collected as data set. The modeling results showed that both ANN and SVM models can estimate the pyrolytic product yield and bio-oil heating value successfully. In all cases, the ANN model accorded well with the experimental data in the training set while SVMs performed better in the prediction set, which indicated that SVM model has a better predicting performance in biomass pyrolysis. The established prediction model can be used as a good reference of the modeling study of biomass fast pyrolysis.