搜索资源列表
GA-PLS-toolbox
- GA-PLS遗传偏最小二乘法 用于数据挖掘或者是光谱特征变量筛选-GA-PLS Genetic Partial Least Squares
PLS
- 偏最小二乘法（PLS）建模方法是集多元回归、典型相关分析及主成分分析的功能于一体的方法-Partial Least Squares
pls
- 多元统计回归，偏最小二乘，适用于数据挖掘-Multivariate Statistics
pls
- 数据建模分析，适合光谱，股票等建模分析，预测样品-For modeling and analysis，For modeling and analysis
JITPLS
- 自己编写的Jist-in-time PLS,利用与待估计样本最相似的若干历史样本，建立PLS回归模型，改善模型泛化能力，包含数据，直接运行，亲测可用。-I have written Jist-in-time PLS, utilization and estimated to be most similar to sample a number of historical samples, PLS regression model to establish and improve the mode
PLS
- 带注释的PLS实例，包含数据，可直接运行。-PLS annotated examples, including data, can be directly run.
PLS
- 一种数据挖掘算法：部分最小二乘法（PLS)，实测无误，适合初学(A data mining algorithm: the partial least square method (PLS), which is unmistakable and suitable for the initial study)
89450774
- 遗传算法-偏最小二乘法,用于分析定量GA-PLS()