• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Chemical, Material and Food Engineering >Effective Variables Selection in Eggs Freshness Graphically Oriented Local Multivariate Analysis using NIR Spectroscopy
【24h】

Effective Variables Selection in Eggs Freshness Graphically Oriented Local Multivariate Analysis using NIR Spectroscopy

机译：使用NIR光谱，蛋上的有效变量选择鸡蛋新鲜度局部多变量分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In multi-component spectral analysis, informative variables selection is important to get satisfied performance. The present research intends to establish relationship between eggs freshness and NIR spectroscopy, and build a compact and robust calibration model. Graphically-oriented local multivariate calibration modeling procedures were used comparatively to select efficient spectral variables in comparison to the full-spectrum model. Three kinds of methods, which were spectral interval selection, effective coefficient variables selection and genetic algorithm, were used for variable selection. Successive projections algorithm (SPA) showed its superior ability in reducing the complexity of model building. A satisfactory result was achieved while only 8 variables were used. Meanwhile, the optimal performance was obtained with genetic algorithm synergy interval partial leastsquare (GA-siPLS) by using 9 PCs and 42 variables selected, which resulted in root mean square error value of prediction (RMSEP) value of 3.29. This work indicates that it is feasible to identify egg freshness using NIR spectroscopy combined with graphically-oriented local multivariate analysis, and using variables methods is important to reduce he complexity of model building with fewer spectral variables and improve performance of calibration model.
机译：在多分量频谱分析中，信息变量选择对​​于获得满意性能很重要。本研究旨在建立鸡蛋新鲜度和NIR光谱之间的关系，并建立紧凑且稳健的校准模型。与全频谱模型相比，相互使用以图形为导向的局部多元校准建模程序。三种方法是光谱间隔选择，有效系数变量选择和遗传算法，用于变量选择。连续投影算法（SPA）展示了降低模型建筑复杂性的优越能力。实现了令人满意的结果，同时仅使用8个变量。同时，通过使用9个PC和42个变量，通过遗传算法协同间隔部分最小值（GA-SIPLS）获得最佳性能，从而产生了3.29的预测（RMSEP）值的根均线误差值。这项工作表明，使用NIR光谱结合与以图形为导向的局部多变量分析来识别蛋清新鲜度，并且使用变量方法对于降低模型构建的复杂性，以及提高校准模型的性能非常重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号