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InterCriteria Analysis of a model parameters identification using genetic algorithm

机译:使用遗传算法识别模型参数的InterCriteria分析

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In this paper we apply an approach based on the apparatus of the Index Matrices and the Intuitionistic Fuzzy Sets - namely InterCriteria Analysis. The main idea is to use the InterCriteria Analysis to establish the existing relations and dependencies of defined parameters in non-linear model of an E. coli fed-batch cultivation process. Moreover, based on results of series of identification procedures we observe the mutual relations between model parameters and considered optimization techniques outcomes, such as execution time and objective function value. Based on InterCriteria Analysis we examine the obtained identification results and discuss the conclusions about existing relations and dependencies between defined, in terms of InterCriteria Analysis, criteria.
机译:在本文中,我们基于索引矩阵的装置和直觉模糊集的方法应用一种方法 - 即intercriteria分析。主要思想是利用界面分析来确定大肠杆菌喂养培养过程非线性模型中定义参数的现有关系和依赖性。此外,基于一系列识别程序的结果,我们观察模型参数之间的相互关系,并考虑优化技术结果,例如执行时间和客观函数值。基于intercriteria分析,我们研究获得的鉴定结果,并讨论了关于在界面分析的标准方面定义的现有关系和依赖关系的结论。

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