Análise de subjanelas permutadas aplicada a seleção de variáveis em modelos de regressão por vetores de suporte em amostras de petróleo

Abstract

The use of support vector regression (SVR) has been increasingly common in analytical chemistry. However, during kernel mapping, The information on the most significant variables for the model is lost. The sub-window permutation analysis (SPA) can solve t