Fuzzy modeling and optimization of biochemical processes: A case study

Author

Chaibakhsh, Ali ; Chaibakhsh, Naz ; Rahman, Mohd Basyaruddin Abdul

Author_Institution

Dept. of Mech. Eng., Univ. of Guilan, Rasht, Iran

fYear

2010

fDate

1-3 Aug. 2010

Firstpage

11

Lastpage

15

Abstract

This paper presents an application of a neuro-fuzzy modeling approach in order to characterize essential behavior of biological processes. The gathered information from experiments was employed to develop a fuzzy model for an enzyme-catalyzed esterification process. The accuracy of developed model was validated by comparing the response of the model and actual data from experiments. A model-based optimization was preformed to obtain the best operating conditions by using the developed model for esterification process. The optimization was carried out for global and constrained solutions. The obtained results show the accuracy and feasibility of proposed algorithm for optimization of biological processes.

Keywords

biotechnology; catalysis; chemical engineering; enzymes; fuzzy set theory; neural nets; optimisation; pattern clustering; production engineering computing; biochemical process optimization; enzyme catalyzed esterification process; fuzzy clustering method; model based optimization; neuro-fuzzy modeling; Accuracy; Artificial neural networks; Biochemistry; Biological system modeling; Data models; Mathematical model; Optimization; Biochemical process; Experimental data; Fuzzy Modelling; Model-based optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Chemistry and Chemical Engineering (ICCCE), 2010 International Conference on

Conference_Location

Kyoto

Print_ISBN

978-1-4244-7765-4

Electronic_ISBN

978-1-4244-7766-1

Type

conf

DOI

10.1109/ICCCENG.2010.5560350

Filename

5560350