江苏大学学报（自然科学版）2012，Vol.33Issue(5)：538-542,5.DOI:10.3969/j.issn.1671-7775.2012.05.009
转基因番茄鉴别模型维护方法
Calibration model maintenance method for transgenic tomato discriminant
摘要
Abstract
To improve the model applicability of calibration model built from spectroscopy, the model maintenance is needed when the prediction precision of original model is poor for predicting new samples. The discriminant analysis ( DA) was used to build transgenic tomato parent sample discriminant calibration model to predict sample ripeness with same batch at same ripeness stage, different batches at same ripeness stage and different batches at different ripeness stages. To improve model applicability, model update by adding new typical samples into original model and absorbance modification were adopted. The results indicate that calibration model can be employed to predict samples with same batch at same ripeness stage. The prediction performance of transgenic samples with different batches at same ripeness stage can be improved by model update, and the prediction performance of parent samples can be improved by absorbance modification. For predicting transgenic tomatoes and parent samples with same batch at different ripeness stage, the efficiency of absorbance modification is better than that of model update.关键词
转基因番茄/模型维护/模型更新/吸光度值修正/光谱Key words
transgenic tomato/model maintenance/model update/absorbance modification/spectroscopy分类
化学化工引用本文复制引用
谢丽娟,应义斌..转基因番茄鉴别模型维护方法[J].江苏大学学报（自然科学版）,2012,33(5):538-542,5.基金项目
国家自然科学基金资助项目(31000668) （31000668）
高等学校博士学科点专项科研基金资助项目(20100101110135) （20100101110135）
