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Volumn 28, Issue 8, 2008, Pages 1810-1813
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Fast detection of sugar content in fruit vinegar using NIR spectroscopy
a
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Author keywords
Fruit vinegar; Least squares support vector machines; NIR spectroscopy; Principal component analysis; Sugar content
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Indexed keywords
ACETIC ACID;
AGRICULTURAL PRODUCTS;
ARTIFICIAL INTELLIGENCE;
BOOLEAN FUNCTIONS;
CALIBRATION;
CHLORINE COMPOUNDS;
CORRELATION METHODS;
CURVE FITTING;
DATA MINING;
DECISION SUPPORT SYSTEMS;
FINANCIAL DATA PROCESSING;
FORECASTING;
FRUIT JUICES;
FRUITS;
FUNCTIONAL GROUPS;
GEODESY;
IMAGE RETRIEVAL;
INFORMATION MANAGEMENT;
INFRARED DEVICES;
INFRARED SPECTROSCOPY;
LEARNING ALGORITHMS;
LEARNING SYSTEMS;
LEAST SQUARES APPROXIMATIONS;
MATHEMATICAL MODELS;
MODAL ANALYSIS;
NEAR INFRARED SPECTROSCOPY;
RESEARCH AIRCRAFT;
SET THEORY;
SPECTROSCOPIC ANALYSIS;
SPECTRUM ANALYSIS;
SUGAR (SUCROSE);
SUPPORT VECTOR MACHINES;
TWO PHASE FLOW;
VECTORS;
FRUIT VINEGAR;
LEAST SQUARES SUPPORT VECTOR MACHINES;
NIR SPECTROSCOPY;
SUGAR CONTENT;
SUGAR CONTENTS;
PRINCIPAL COMPONENT ANALYSIS;
ACETIC ACID;
SUCROSE;
ALGORITHM;
ARTICLE;
CHEMICAL MODEL;
CHEMISTRY;
FRUIT;
METHODOLOGY;
NEAR INFRARED SPECTROSCOPY;
PRINCIPAL COMPONENT ANALYSIS;
TIME;
ACETIC ACID;
ALGORITHMS;
FRUIT;
MODELS, CHEMICAL;
PRINCIPAL COMPONENT ANALYSIS;
SPECTROSCOPY, NEAR-INFRARED;
SUCROSE;
TIME FACTORS;
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EID: 51149111630
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
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Times cited : (8)
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References (20)
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