Application of least squares-support vector machine for measurement of soluble solids content of rice vinegars using Vis/NIR spectroscopy

Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007

Volumn , Issue , 2007, Pages 1044-1047

  Liu, Fei ^a   He, Yong ^a   Wang, Li ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACETIC ACID; ARTIFICIAL INTELLIGENCE; CORRELATION METHODS; CURVE FITTING; ELECTRIC FAULT CURRENTS; FORECASTING; GEODESY; GRAIN (AGRICULTURAL PRODUCT); IMAGE RETRIEVAL; INFRARED SPECTROSCOPY; INTELLIGENT CONTROL; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MICROCOMPUTERS; PRINCIPAL COMPONENT ANALYSIS; RESEARCH AIRCRAFT; TWO PHASE FLOW; VECTORS; WAVELET TRANSFORMS;

COMPUTATIONAL INTELLIGENCE; CORRELATION CO-EFFICIENT; HIGH-PRECISION; INTERNATIONAL CONFERENCES; LEAST SQUARES; PRINCIPAL COMPONENTS; ROOT-MEAN-SQUARE ERROR OF PREDICTION; SOLUBLE SOLIDS CONTENT; VIS/NIR SPECTROSCOPY; VISIBLE AND NEAR-INFRARED; WAVELET TRANSFORM (WT);

SUPPORT VECTOR MACHINES;

EID: 48349091397     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIS.2007.104     Document Type: Conference Paper

References (10)

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