Modeling pressure drop coefficient for cyclone separators: A support vector machine approach

Chemical Engineering Science

Volumn 64, Issue 19, 2009, Pages 4131-4136

  Zhao, Bingtao ^a  

^a UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cross validation; Cyclone separators; Modeling; Optimized search; Pressure drop coefficient; Support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; CONVENTIONAL MODELS; CORRELATION COEFFICIENT; CROSS VALIDATION; GENERALIZATION PERFORMANCE; GEOMETRICAL DIMENSIONS; MEAN SQUARED ERROR; MODELING; NON-LINEAR RELATIONSHIPS; NORMALIZATION METHODS; OPTIMAL ALGORITHM; OPTIMIZED SEARCH; PRESSURE DROP COEFFICIENT; PRESSURE DROP COEFFICIENTS; RANDOM SAMPLING; SAMPLE DATASET; SEARCH TECHNIQUE; SIMULATION RESULT; STATISTICAL MODELS; SVM MODEL;

AGRICULTURAL MACHINERY; DROPS; IMAGE RETRIEVAL; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PRESSURE DROP; STORMS; SUPPORT VECTOR MACHINES; VECTORS;

CYCLONE SEPARATORS;

EID: 68149170852     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2009.06.017     Document Type: Article

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