Rapid parameter estimation of four non-linear growth models for analyzing the growth of Escherichia Coli

N.A.

Makale detayları

Rapid parameter estimation of four non-linear growth models for analyzing the growth of Escherichia Coli

Yazarlar:

N.A.

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Biochemistry and Cell Biology (Other)

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 3, pp.778-786

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001319360

pISSN:

1304-7191

Anahtar kelimeler:

Özet:

 In this paper we develop five new methods of estimation to estimate the parameters of four widely used nonlinear models namely Haldane, Powell, Moser and Webb model. A standard growth data set of Escherichia Coli is considered for estimating the parameters. The estimated model parameters are analyzed by evaluating statistical parameters χ2, Root Mean Square Error, R2, R2 a and R2 pre. As a result, the Powell model gives the best fit with estimation of R2 as 99.7 with respect to method IV. Moreover, the other three models also provide remarkable fit along with the newly introduced methods. Method II gives R2 value as 99 in case of the Haldane model. The method IV estimates with R2 value as 99.6 in the Moser model and the method III estimates with R2 value as 99.4 in case of the Webb model.

 In this paper we develop five new methods of estimation to estimate the parameters of four widely used nonlinear models namely Haldane, Powell, Moser and Webb model. A standard growth data set of Escherichia Coli is considered for estimating the parameters. The estimated model parameters are analyzed by evaluating statistical parameters χ2, Root Mean Square Error, R2, R2 a and R2 pre. As a result, the Powell model gives the best fit with estimation of R2 as 99.7 with respect to method IV. Moreover, the other three models also provide remarkable fit along with the newly introduced methods. Method II gives R2 value as 99 in case of the Haldane model. The method IV estimates with R2 value as 99.6 in the Moser model and the method III estimates with R2 value as 99.4 in case of the Webb model.

 In this paper we develop five new methods of estimation to estimate the parameters of four widely used nonlinear models namely Haldane, Powell, Moser and Webb model. A standard growth data set of Escherichia Coli is considered for estimating the parameters. The estimated model parameters are analyzed by evaluating statistical parameters χ2, Root Mean Square Error, R2, R2 a and R2 pre. As a result, the Powell model gives the best fit with estimation of R2 as 99.7 with respect to method IV. Moreover, the other three models also provide remarkable fit along with the newly introduced methods. Method II gives R2 value as 99 in case of the Haldane model. The method IV estimates with R2 value as 99.6 in the Moser model and the method III estimates with R2 value as 99.4 in case of the Webb model.

 In this paper we develop five new methods of estimation to estimate the parameters of four widely used nonlinear models namely Haldane, Powell, Moser and Webb model. A standard growth data set of Escherichia Coli is considered for estimating the parameters. The estimated model parameters are analyzed by evaluating statistical parameters χ2, Root Mean Square Error, R2, R2 a and R2 pre. As a result, the Powell model gives the best fit with estimation of R2 as 99.7 with respect to method IV. Moreover, the other three models also provide remarkable fit along with the newly introduced methods. Method II gives R2 value as 99 in case of the Haldane model. The method IV estimates with R2 value as 99.6 in the Moser model and the method III estimates with R2 value as 99.4 in case of the Webb model.

Makale detayları

Rapid parameter estimation of four non-linear growth models for analyzing the growth of Escherichia Coli

Yazarlar:

N.A.

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Biochemistry and Cell Biology (Other)

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 3, pp.778-786

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001319360

pISSN:

1304-7191

Kinetic Models

Microbial Growth

Parameter Estimation and Partial Sums

Sayı

Makale detayları

Rapid parameter estimation of four non-linear growth models for analyzing the growth of Escherichia Coli

Yazarlar: N.A.

Yayıncı: Yildiz Technical University

Ana Başlıklar: Biochemistry and Cell Biology (Other)

Dergi: Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 3, pp.778-786

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001319360

pISSN: 1304-7191

Kinetic Models

Microbial Growth

Parameter Estimation and Partial Sums

Sayı

Yazarlar:

N.A.

Yayıncı:

Yildiz Technical University

Ana Başlıklar:

Biochemistry and Cell Biology (Other)

Dergi:

Sigma Journal of Engineering and Natural Sciences Vol.42 Issue 3, pp.778-786

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001319360

pISSN:

1304-7191