A Bayesian network model for surface roughness prediction in the machining process

International Journal of Systems Science

Volumn 39, Issue 12, 2008, Pages 1181-1192

  Correa, M ^a   Bielza, C ^b   Ramirez, M De J ^c   Alique, J R ^a  

^a Consejo Superior de Investigaciones Científicas   (Spain)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^c SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

Bayesian networks; High speed milling; Probabilistic graphical models; Supervised classification; Surface roughness

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; DISTRIBUTED PARAMETER NETWORKS; FORECASTING; FRICTION; FUZZY LOGIC; FUZZY NEURAL NETWORKS; GRAPHIC METHODS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING SYSTEMS; MACHINING; MACHINING CENTERS; METAL ANALYSIS; MILLING (MACHINING); NEURAL NETWORKS; SPEECH ANALYSIS; SPEECH RECOGNITION; SPEED; SURFACE PROPERTIES; SURFACE ROUGHNESS;

ARTIFICIAL INTELLIGENCE TECHNIQUES; BAYESIAN NETWORK MODELS; CLASSIFICATION RESULTS; EXPERIMENTAL TESTS; FLEXIBLE TOOLS; HIGH-SPEED MACHINING; HIGH-SPEED MILLING; MACHINING PROCESSES; NAIVE BAYES; NETWORK ALGORITHMS; NON LINEARITIES; PREDICTION TECHNIQUES; PROBABILISTIC GRAPHICAL MODELS; RELIABLE ALGORITHMS; SPEED MILLINGS; SUPERVISED CLASSIFICATION; WORK PIECES;

BAYESIAN NETWORKS;

EID: 55749096392     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207720802344683     Document Type: Article

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