Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling

International Journal of Advanced Manufacturing Technology

Volumn 42, Issue 11-12, 2009, Pages 1082-1088

  Lela, B ^a   Bajic D ^a   Jozic S ^a  

^a UNIVERSITY OF SPLIT   (Croatia)

Author keywords

Bayesian neural network; Face milling; Regression; Support Vector Machines; Surface roughness

Indexed keywords

BAYESIAN NEURAL NETWORK; BAYESIAN NEURAL NETWORKS; CUTTING PARAMETERS; CUTTING SPEED; DEPTH OF CUT; FACE MILLING; MODELING METHODOLOGY; PREDICTION ERRORS; REGRESSION; THREE MODELS; TRAINING DATASET;

BAYESIAN NETWORKS; IMAGE RETRIEVAL; MACHINE DESIGN; METAL ANALYSIS; MILLING (MACHINING); NEURAL NETWORKS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; SURFACE PROPERTIES; SURFACE ROUGHNESS; VECTORS;

KNOWLEDGE BASED SYSTEMS;

EID: 67650270096     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-008-1678-z     Document Type: Article

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