搜索资源列表
PLS
- 偏最小二乘回归的通用程序，以“基于近红外光谱分析的汽油组分建模”为例 -Partial least squares regression of the general program of " Near infrared spectroscopy based gasoline component modeling" as an example
Orangedetect
- 为了研究适合近红外光谱无损检测脐橙VC 含量的光谱预处理方法, 比较了11 种光谱预处理方法对偏最小二乘法( PLS) 建模预测效果的影响。结果表明, 小波消噪效果最好, 模型预测值与标准值的相关系数R 达到0. 957 4, 交叉验证预测均方差仅为3. 90, 最优光谱波段为7 501. 7～5 449. 8 cm- 1, 主成分数为8。小波消噪是脐橙VC 含量近红外光谱无损检测的有效光谱预处理方法。-In order to search an appro priate pret reatme
PLS
- 该matlab程序可以用于利用偏最小二乘法建立近红外校正模型。-The matlab program can be used to create near-infrared calibration models use partial least squares.
GLS_Standardization
- 近红外化学计量学PLS-BP人工神经网络入研究，指导性较强；第1章程序；主要用于模型转移-Near infrared stoichiometry of PLS-BP artificial neural network research, strong guidance the first chapter is mainly used for model transfer procedures
PLS
- PLS程序，用于线性回归,数据应用的是近红外光谱和溶液浓度-PLS program,it is used for linear regression.The data is near infrared spectrum and solution concentration
pls
- pls源码，偏最小二乘法源代码。常用于近红外光谱分析-pls algothm
PLS
- 偏最小二乘法算法，用于对红外光谱或拉曼光谱进行去背景处理。-Partial least squares algorithm for infrared spectroscopy or Raman spectroscopy to background processing.
pls
- 近红外光谱分析中要从复杂的信息中有效地提取相关信息建立可靠的模型，建立模型进行预测。(In the near infrared spectrum analysis, the relevant information can be extracted effectively from complex information, a reliable model is established, and a model is established for prediction)
pls
- 近红外光谱与PLS方法用于药片中有效成分含量的测定 MATLAB(Determination of the content of effective components in tablets by near infrared spectroscopy and PLS)
PLS
- 利用偏最小二乘法实现对近红外光谱的血液定量分析(Quantitative analysis of blood in near infrared spectrum by partial least squares)
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an
应用pls算法对近红外光谱进行回归分析
- 应用pls算法对岩石的LIBS光谱进行回归分析
MC-UVE-PLS
- MC-uve算法提取近红外光谱特征变量用于优化PLS模型的预测精度