Estimation of predictive accuracy of soft sensor models based on data density

Chemometrics and Intelligent Laboratory Systems

Volumn 128, Issue , 2013, Pages 111-117

  Kaneko, Hiromasa ^a   Funatsu, Kimito ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Applicability domains; Distances to models; One class support vector machine; Predictive accuracy; Soft sensor

Indexed keywords

ACCURACY; ANALYTICAL ERROR; AREA UNDER COVERAGE AND ROOT MEAN SQUARE ERROR CURVE; ARTICLE; COMPARATIVE STUDY; COMPUTER SIMULATION; CONTROLLED STUDY; DATA DENSITY; DISTANCE TO SOFT SENSOR MODEL; EUCLIDEAN DISTANCE; FLOW RATE; INFORMATION PROCESSING; K NEAREST NEIGHBOR; MAHALANOBIS DISTANCE; MELT FLOW RATE; NONLINEAR SYSTEM; ONE CLASS SUPPORT VECTOR MACHINE; PREDICTIVE VALUE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; SUPPORT VECTOR MACHINE;

EID: 84883613892     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.08.005     Document Type: Article

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