A Study on Kinetic Models for Analysing the Bacterial Growth Rate
A Study on Kinetic Models for Analysing the Bacterial Growth Rate
复制标题
细菌生长速率分析动力学模型的研究
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
P. Saikia
中科院分区：
文献类型：
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作者：
Dimpal Jyoti Mahanta;M. Borah;P. Saikia
预测细菌生长速率的四种数学模型本文考察了Blackman、Monod、Moser、Powell模型。本研究的目的是利用高斯-牛顿迭代法估计这些模型的参数，并根据细菌生长速率的经验数据集在这些模型中选择最佳拟合模型。使用Matlab 7.11.0版本对参数进行估计。根据参数的性质和定义，还确定了使用任何迭代估计方法的参数的初始值规范。根据均方根误差（RMSE）和值选择最佳拟合模型。结果表明，三参数Moser模型的拟合效果优于其他模型。
Four mathematical models for the prediction of bacterial growth rate; Blackman, Monod, Moser, Powell models are examined in this paper. The objectives of this study is to estimate the parameters of these models using Gauss -Newton iteration procedure and to select the best fit model among these models based on an empirical data set of Bacterial growth rate. Matlab version 7.11.0 has been used for the estimation of the parameters. The initial value specifications for the parameters using any iterative methods of estimation have also been identified based on the properties and the definitions of the parameters.The best fit model has been selected on the basis of root mean square error (RMSE) and value. Based on the result it may conclude that the three parameter Moser model provides better fits than the other models.