Performance comparison of ANN, PCA-based regression, and conventional regression models for predicting glucose concentrations from UV–Vis spectral data.

Performance comparison of ANN, PCA-based regression, and conventional regression models for predicting glucose concentrations from UV–Vis spectral data.针对从紫外-可见光谱数据预测葡萄糖浓度的任务，本数据集对人工神经网络（Artificial Neural Network，ANN）、基于主成分分析（Principal Component Analysis，PCA）的回归模型及传统回归模型的性能进行了对比分析。