基于更新样本智能识别算法的自适应集成建模
Adaptive Ensemble Modelling Approach Based on Updating Sample Intelligent Identification
摘要
关键词
集成学习/更新样本识别/模糊推理/近似线性依靠/预测误差Key words
Ensemble learning/updating sample identification/fuzzy inference/approximate linear dependence/prediction error引用本文复制引用
汤健,柴天佑,刘卓,余文,周晓杰..基于更新样本智能识别算法的自适应集成建模[J].自动化学报,2016,42(7):1040-1052,13.基金项目
国家高技术研究发展计划(863计划)(2015AA043802),国家自然科学基金(61573364,61273177,61305029,61503066,61573249),中国博士后科学基金(2013M532118,2015T81082,2015M581355),流程工业综合自动化国家重点实验室开放课题基金资助项目(PAL-N201504),江苏高校优势学科建设工程资助项目,江苏省大气环境与装备技术协同创新中心资助 （863计划）
Supported by National High Technology Research and Development Program of China (863 Program) (2015AA043802),National Natural Science Foundation of China (61573364,61273177,61305029,61503066,61573249),Postdoctoral Science Foundation of China (2013M532118,2015T81082,2015M581355),Open Project Fund of the State Key Laboratory of Synthetical Automation of Process Industry (PAL-N201504),the Priority Academic Program Development of Jiangsu Higher Education Institutions,and Collaborative Innovation Center of Atmospheric Environment and Equipment Technology of Jiangsu Province （863 Program）
