摘要
本文提出一种新的B-P算法:主成分—逐步回归—BP算法.用于近红外光谱定量分析中,其所建模型的预测精度明显高于以往的逐步回归—BP算法和主成分—BP算法.
Back Propagation network (B-P) has been used in Near-Infrared spectra (NIR) for many years.But the important thing is how to improve its prediction precision.In this study,we put forward Principal component-stepwise regression-BP algorithm(PCR-SRA-BP).It is superior to SRA-BP and PCR-BP algorithm in prediction and the speed of learning.
出处
《北京农学院学报》
1999年第3期47-52,共6页
Journal of Beijing University of Agriculture
关键词
主成分
逐步回归
BP算法
近红外光谱
定量分析
Near-Infrared spectra
Quantitative Analysis
Principal component-stepwise regression-BP algorithm