WebThe competitive adaptive reweighted sampling-successive projections algorithm (CARS-SPA) method was proposed as a novel variable selection approach to process … WebThe competitive adaptive reweighted sampling (CARS) was used for feature selection during the plant nitrogen content model construction. The CARS is a feature selection method that combines Monte Carlo sampling with regression coefficients from a partial least squares model and is widely used for sensitive feature selection of multiple ...
Color Measurement of Tea Leaves at Different Drying Periods
WebAug 19, 2009 · By employing the simple but effective principle 'survival of the fittest' on which Darwin's Evolution Theory is based, a novel strategy for selecting an optimal … WebMar 1, 2024 · This is called competitive adaptive reweighted sampling (CARS). In this article, the absolute value of the partial least squares regression coefficient is used to … cs go freq
Stability competitive adaptive reweighted sampling …
WebJun 15, 2016 · 选用近年新提出来的competitive adaptive reweighted sampling (CARS)变量选取法对高光谱进行降维， 提取出32个特征参数， 建立了白壳蛋基于全波段的偏最小二乘法(partial least square, PLS)预测模型和基于特征参数的多元回归模型， 验证集的相关系数分别为0.88， 0.93， 均方 ... WebApr 12, 2024 · Three different feature datasets, namely micro-CT, FTIR, and mixed datasets, were established via principal component analysis (PCA) and competitive adaptive reweighted sampling (CARS) and then used to train a back-propagation neural network. The mixed dataset consists of 34-dimensional micro-CT eigenvalues and 13 … WebApr 10, 2024 · The multiple linear regression (MLR) was designed to develop the simplified detection models based on feature variables chosen by the successive projection algorithm and competitive adaptive reweighted sampling (CARS). Results showed that the optimal CARS-MLR model was designed to determine the quality attributes with RPD above 2.2. e 8th ave tarentum pa