标题：Unified Discrete Wavelet Transform with Ridge Regression and Principal Component Regression to Predict Concentration of Gingerol Compound in Ginger Crop
其他标题：Unified Discrete Wavelet Transform with Ridge Regression and Principal Component Regression to Predict Concentration of Gingerol Compound in Ginger Crop
期刊名称：Majalah Iptek = IPTEK : The Journal for Technology and Science
印刷版ISSN：0853-4098
电子版ISSN：2088-2033
出版年度：2008
卷号：19
期号：3
DOI：10.12962/j20882033.v19i3.148
语种：English
出版社：IPTEK
摘要：Multivariate calibration model can be used as an alternative method to predict the concentration of a gingerol compound. The prediction usually are carried out chemically through a long and expensive process using High Performance Liquid Chromatography (HPLC) measurement method. Since the number of samples (n) are less than of the number of independent variables (p), and between the independent variables are correlated, so the development of model using conventional regression is not valid. The combination of Discrete Wavelete Transform (DWT) with Ridge Regression and Principal Component Regression have been adopted in this paper to predict concentration of gingerol, and it showed a promising result.
关键词：Calibration Model; Wavelet; Partial Least Square; Gingerol
