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Structural, thermal, and hydrolysis properties of large and small granules from C-type starches of four Chinese chestnut varieties
Chinese chestnut Granule size Hydrolysis properties Starch Structural properties Thermal properties
2023/8/9
Large and small granules were separated from C-type starches of four Chinese chestnut varieties growing in the same environment. They had similar amylose contents from 17.7% to 20.2% and showed C-type...
霉变板栗的近红外光谱和神经网络方法判别（Discrimination of Moldy Chinese Chestnut Based on Artificial Neural Network and Near Infrared Spectra）
板栗 近红外光谱 BP神经网络 预处理
2009/11/3
利用近红外光谱检测了带壳板栗的品质。在波数为12000～4000cm-1范围内采用近红外漫反射法采集了合格板栗和霉变板栗的光谱，用6种光谱预处理方法分析数据，比较了板栗近红外光谱在不同预处理方法下所建模型的识别率。试验结果表明经矢量归一化预处理所建模型识别效果最好，对预测集中的合格板栗、表面霉变板栗、内部霉变板栗的预测正确率分别为94.74%、94.44%、92.31%。