关键词: Boosting, 动态加权, 软测量

Abstract: To improve the Boosting algorithm stability，a Dynamically Averaging Boosting algorithm（DA-Boosting） is proposed.Using BP neural networks as a base learner，a leveraging learner is constructed by Boosting algorithm.The DA-Boosting algorithm is obtained by dynamically averaging the regression functions trained by leveraging learners.Experimental studies on three typical regression datasets show that this algorithm has good and stable generalization ability.Finally the DA-Boosting algorithm is applied to construct a soft sensing model for propylene concentration.Application results show that this model has high measurement precision as well as generalization ability.

Key words: Boosting, dynamically average, soft sensing