Tri-Training algorithm belongs to semi-supervised algorithm,unlabeled samples are often labeled incorrectly in study, and the performance is affected. So the ADP-Tri-Training (Adaptive Tri-Training) algorithm is proposed, cooperative work mode is improved, a classification composition scheme based on geometric center is used, the fuzzy mathematics theory is applied to combine the classifiers, so the algorithm can evaluate the samples by multiple factors, genetic algorithm is introduced to dynamically set the combined weight in order to adapt different sample sets, also it can reduce the error of classifies as far as possible, finally the experimental results show that the proposed algorithm is more effective.