强激光与粒子束2011，Vol.23Issue(5)：1324-1328,5.DOI:10.3788/HPLPB20112305.1324
偏最小二乘回归在微波效应预测中的应用
Application of partial least-square regression to prediction of microwave effects
摘要
Abstract
The partial least-square regression(PLSR) method was introduced and implemented in the prediction of microwave effects.The results show that the PLSR method has an accuracy almost consistent with the adaptive neuro-fuzzy inference system(ANFIS) model's, and their average relative error is less than 3％.The requirement for sample size of these two methods was analyzed.On the condition of small sample size, the PLSR model is more precise than the ANFIS model.Thus the PLSR method is more effective for data processing and prediction with small sample size of microwave effects.关键词
小样本/偏最小二乘回归/微波效应/自适应神经模糊推理网络Key words
small sample size/ partial least-square regression/ microwave effects/ adaptive neuro-fuzzy inference system分类
数理科学引用本文复制引用
钟龙权,马弘舸..偏最小二乘回归在微波效应预测中的应用[J].强激光与粒子束,2011,23(5):1324-1328,5.基金项目
国家高技术发展计划项目 （）
