Bioprocess supervision: Neural networks and knowledge based systems

被引：39

作者：

Glassey, J ^{[1
]}

Ignova, M ^{[1
]}

Ward, AC ^{[1
]}

Montague, GA ^{[1
]}

Morris, AJ ^{[1
]}

机构：

[1] UNIV NEWCASTLE UPON TYNE,DEPT MICROBIOL,NEWCASTLE TYNE NE1 7RU,TYNE & WEAR,ENGLAND

来源：

JOURNAL OF BIOTECHNOLOGY | 1997年 / 52卷 / 03期

关键词：

bioprocess monitoring; supervision; artificial neural networks; knowledge based systems; pattern recognition;

D O I：

10.1016/S0168-1656(96)01645-8

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：

Supervision of highly non-linear and time variant bioprocesses is of considerable importance to bioindustries as a means of achieving improved productivity and reduced process variability. Artificial intelligence methodologies, including artificial neural networks and knowledge based systems, can contribute significantly to the achievement of these objectives. (C) 1997 Elsevier Science B.V.

引用

页码：201 / 205

页数：5

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