Abstract: To overcome the shortcomings of traditional approach to teaching quality evaluation of university，a more objective and reasonable intelligent evaluation method is proposed． According to the shortcomings of linear and static properties of traditional evaluation model，an implementation scheme of intelligent evaluator is proposed using ANN ( Artificial Neural Network) ． The training sample set of the intelligent evaluator is constructed with the data produced by traditional model． The 3 sub-evaluators are integrated with boosting to compose the intelligent evaluator，and the running rules of the evaluator is described． It is verified by practice that the proposed method better reflects the complex and dynamic relation between factors and results，and
produces good evaluation results．

Key words: artificial neural network, Boosting, teaching quality evaluation, non-linear dynamitic model