计算机工程与应用2016，Vol.52Issue(1)：239-243,5.DOI:10.3778/j.issn.1002-8331.1312-0470
基于Marquardt和Runge-Kutta算法的发酵过程建模
Fermentation process modeling with Marquardt algorithm and Runge-Kutta algorithm
摘要
Abstract
It is hard to describe complex nonlinear dynamic fermentation process by using a simple linear model. Thus nonlinear modeling is used to examine fermentation progress. To this end, a least-square based algorithm Marquardt algo-rithm is used to estimate model parameters from experimental data. A model of nonlinear differential equations is solved by Runge-Kutta algorithm. Both Marquardt and fourth Runge-Kutta methods are applied for optimizing parameter values for fermentation model. Regression tests are conducted and results indicate that the model can simulate the rice wine fermentation process with R2 higher than 0.89.关键词
Marquardt算法/Runge-Kutta算法/黄酒发酵/过程建模Key words
Marquardt algorithm/Runge-Kutta algorithm/rice wine fermentation/process modeling分类
信息技术与安全科学引用本文复制引用
刘登峰,徐玲,熊伟丽,姜丽华,张洪涛,徐保国..基于Marquardt和Runge-Kutta算法的发酵过程建模[J].计算机工程与应用,2016,52(1):239-243,5.基金项目
国家自然科学基金面上项目(No.21276111) （No.21276111）
留学基金委奖学金(No.2010679023) （No.2010679023）
江南大学优秀博士研究生培育基金(No.20110149) （No.20110149）
国家自然科学基金青年基金(No.21206053) （No.21206053）
浙江省自然科学基金重大专项(No.2011C12033) （No.2011C12033）
创新引智计划"111"计划(No.B12018). （No.B12018）
