Boosting the partial least square algorithm for regression modelling
Ling YU
Tiejun WU
摘要：Boosting algorithms are a class of general methods used to improve the general performance of regression analysis. The main idea is to maintain a distribution over the train set. In order to use the given distribution directly,a modified PLS algorithm is proposed and used as the base learner to deal with the nonlinear multivariate regression problems. Experiments on gasoline octane number prediction demonstrate that boosting the modified PLS algorithm has better general performance over the PLS algorithm.
机标关键词：regression analysisoctane numberdeal with
分类号：TP3(计算技术、计算机技术)
资助基金：国家高技术研究发展计划(863计划)(2003AA412110)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：4( 257-260 )
英文信息