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
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
  • [21] Gas disaster prediction of based on multiple regression analysis
    Wang, Fu-Guo
    Zhang, Zhen-Wen
    Li, Chao
    Liaoning Gongcheng Jishu Daxue Xuebao (Ziran Kexue Ban)/Journal of Liaoning Technical University (Natural Science Edition), 2007, 26 (SUPPL. 2): : 7 - 9
  • [22] Precise prediction of multiple anticancer drug efficacy using multi target regression and support vector regression analysis
    Brindha, G. R.
    Rishiikeshwer, B. S.
    Santhi, B.
    Nakendraprasath, K.
    Manikandan, R.
    Gandomi, Amir H.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 224
  • [23] Analysis of Bioprocesses. Dynamic Modeling is a Must
    Ramkrishna, Doraiswami
    Song, Hyun-Seob
    MATERIALS TODAY-PROCEEDINGS, 2016, 3 (10) : 3587 - 3599
  • [24] Prediction of TBM penetration rate from brittleness indexes using multiple regression analysis
    Jamshidi A.
    Modeling Earth Systems and Environment, 2018, 4 (1) : 383 - 394
  • [25] Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regression
    Wang, JY
    Lee, HM
    Ahmad, S
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2005, 61 (03) : 481 - 491
  • [26] PREDICTION OF THERMAL RESISTANCE OF THE KNITTED FABRICS IN WET STATE BY USING MULTIPLE REGRESSION ANALYSIS
    Kanat, Z. Evrim
    Ozdil, Nilgun
    Marmarali, Arzu
    TEKSTIL VE KONFEKSIYON, 2014, 24 (03): : 291 - 297
  • [27] ANALYSIS OF FACTORS USING MULTIPLE REGRESSION
    HOCKING, RT
    JOURNAL OF SYSTEMS MANAGEMENT, 1970, 21 (05): : 29 - 34
  • [28] Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
    Asilturk, Ilhan
    Cunkas, Mehmet
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (05) : 5826 - 5832
  • [29] Price Modeling of IaaS Providers Using Multiple Regression
    Belusso, Cassio L. M.
    Sawicki, Sandro
    Basto-Fernandes, Vitor
    Frantz, Rafael Z.
    Roos-Frantz, Fabricia
    2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2017,
  • [30] Entrepreneurial intention modeling using hierarchical multiple regression
    Jeger, Marina
    Susanj, Zoran
    Mijoc, Josipa
    CROATIAN OPERATIONAL RESEARCH REVIEW, 2014, 5 (02) : 361 - 373