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Volumn , Issue , 2006, Pages 759-763
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Research on soft sensor modeling of fermentation process based on v-SVR
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Author keywords
Fermentation; Model; Polylysine; Soft sensor; SVR
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Indexed keywords
BIOCHEMICAL ENGINEERING;
DETECTORS;
ERROR ANALYSIS;
FERMENTATION;
FOOD PROCESSING;
MERGERS AND ACQUISITIONS;
MULTIVARIABLE CONTROL SYSTEMS;
PARAMETER ESTIMATION;
PROCESS CONTROL;
SENSORS;
SUPPORT VECTOR MACHINES;
VECTORS;
(001) PARAMETER;
ERROR RATE (ER);
FERMENTATION PROCESSES;
GENERALIZATION PERFORMANCE;
INFORMATION ACQUISITIONS;
INTERNATIONAL CONFERENCES;
LEARNING MACHINES;
NEW ALGORITHM;
PREDICTION ERRORS;
REGRESSION (R2);
SOFT-SENSOR MODELING;
SUPPORT VECTOR REGRESSION (SVR);
TRADITIONAL TECHNIQUES;
TYPE OF SUPPORT;
LEARNING SYSTEMS;
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EID: 46249083228
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICIA.2006.305825 Document Type: Conference Paper |
Times cited : (3)
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References (8)
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