Modeling and prediction of bioprocesses using multiple regression analysis

被引：0
|
作者：
Teeradakorn, S [1 ]
Kishimoto, M [1 ]
Yoshida, T [1 ]
机构：
[1] Chulalongkorn Univ, Inst Biotechnol & Genet Engn, Bangkok 10330, Thailand
来源：
COMPUTER APPLICATIONS IN BIOTECHNOLOGY 1998: HORIZON OF BIOPROCESS SYSTEMS ENGINEERING IN 21ST CENTURY | 1998年
关键词：
modeling; prediction; regression analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new approach of dealing with a regression analysis model was proposed for better prediction of state variable changes in glucose isomerase production by a Streptomyces fusant D3. A correction factor was introduced in the regression equation for the estimation of specific rate parameters taking into account the data distribution. Copyright (C) 1998 IFAC.
引用
收藏
页码：209 / 214
页数：6
相关论文
共 50 条
  • [31] Modeling of microbial growth bioprocesses: Equilibria and stability analysis
    Roman, Monica
    Selisteanu, Dan
    INTERNATIONAL JOURNAL OF BIOMATHEMATICS, 2016, 9 (05)
  • [32] Prediction of software faults using fuzzy nonlinear regression modeling
    Xu, ZW
    Allen, EB
    FIFTH IEEE INTERNATIONAL SYMPOSIUM ON HIGH ASSURANCE SYSTEMS ENGINEERING, PROCEEDINGS, 2000, : 281 - 290
  • [33] Modeling of Rainfall Prediction over Myanmar Using Polynomial Regression
    Zaw, Wint Thida
    Naing, Thinn Thu
    2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND TECHNOLOGY, VOL I, PROCEEDINGS, 2009, : 316 - 320
  • [34] Intelligent prediction Modeling using modified locally weighted regression
    Wang, Huaqiu
    Liu, Quanli
    Cao, Changxiu
    Leung, Hiphung
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 3128 - 3133
  • [35] Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction
    Deepak Sharma
    Pravin Chandra
    International Journal of System Assurance Engineering and Management, 2019, 10 : 1453 - 1473
  • [36] Identification of latent variables using, factor analysis and multiple linear regression for software fault prediction
    Sharma, Deepak
    Chandra, Pravin
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2019, 10 (06) : 1453 - 1473
  • [37] Prediction of cavity growth rate during underground coal gasification using multiple regression analysis
    Najafi M.
    Jalali S.M.E.
    KhaloKakaie R.
    Forouhandeh F.
    International Journal of Coal Science & Technology, 2015, 2 (4) : 318 - 324
  • [38] Intraocular lens power prediction for triple procedures in Fuchs' dystrophy using multiple regression analysis
    Viestenz, A
    Seitz, B
    Langenbucher, A
    ACTA OPHTHALMOLOGICA SCANDINAVICA, 2005, 83 (03): : 312 - 315
  • [39] Prediction of Jominy Hardness Curves Using Multiple Regression Analysis, and Effect of Alloying Elements on the Hardenability
    Wi, Dong-Yeol
    Kim, Kyu-Sik
    Jung, Byoung-In
    Lee, Kee-Ahn
    KOREAN JOURNAL OF MATERIALS RESEARCH, 2019, 29 (12): : 781 - 789
  • [40] Pattern-Aided Regression Modeling and Prediction Model Analysis
    Dong, Guozhu
    Taslimitehrani, Vahid
    2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2016, : 1508 - 1509
12345