Knowledge-based design and operation of bioprocess systems

被引:32
|
作者
Shioya, S [1 ]
Shimizu, K
Yoshida, T
机构
[1] Osaka Univ, Dept Biotechnol, Grad Sch Engn, Osaka 5650871, Japan
[2] Kyushu Inst Technol, Dept Biochem Engn & Sci, Fukuoka 8208502, Japan
[3] Osaka Univ, Int Ctr Biotechnol, Osaka 5650871, Japan
关键词
artificial neural networks; biological process; expert system; fuzzy inference; genetic algorithms; knowledge-based approaches;
D O I
10.1016/S1389-1723(99)80029-2
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Almost twenty years have passed since the first applications of the knowledge-based approach to bioprocess operations were reported. During this period, approaches such as fuzzy logic, artificial neural network modeling, expert systems and genetic algorithms have been extensively studied and successfully used in the design and control of various bioprocesses. The recent development of these approaches in the design and operation of biological processes is summarized and reviewed, especially focusing on the studies reported in biochemical engineering journals.
引用
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页码:261 / 266
页数:6
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