Neural networks for detecting cyclic behavior in autocorrelated process

Computers and Industrial Engineering

Volumn 62, Issue 4, 2012, Pages 1093-1108

  Purintrapiban, Ussanee ^a   Corley, H W ^b  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY THONBURI   (Thailand)

^b University of Texas at Arlington   (United States)

Author keywords

Autocorrelated data; Cyclical pattern; Neural networks; Pattern detection

Indexed keywords

AUTO-CORRELATED DATA; AUTOCORRELATED PROCESS; AUTOMATED MANUFACTURING ENVIRONMENTS; AUTOREGRESSIVE COEFFICIENT; BACKPROPAGATION TRAINING ALGORITHM; CONTROL CHARTS; CYCLE PERIODS; CYCLIC BEHAVIOR; CYCLICAL PATTERN; DATA SETS; FEED-FORWARD; IN-CONTROL; MANUFACTURING PROCESS; MONTE CARLO SIMULATION; OUT-OF-CONTROL; OUT-OF-CONTROL STATE; PATTERN DETECTION; PROCESS DATA; SCALED CONJUGATE GRADIENTS; UNCORRELATED DATA; UNDERLYING CAUSE;

CONJUGATE GRADIENT METHOD; FRACTAL DIMENSION; INDUSTRIAL ENGINEERING; MONTE CARLO METHODS; NEURAL NETWORKS; PRODUCTION ENGINEERING;

PROCESS CONTROL;

EID: 84858701048     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2012.01.002     Document Type: Article

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