Recognition of control chart patterns using decision tree of multi-class SVM

Advances in Intelligent and Soft Computing

Volumn 138 AISC, Issue , 2012, Pages 33-41

  Shao, Xiaobing ^a  

^a JIUJIANG UNIVERSITY   (China)

Author keywords

control chart; multi class SVM; OAA methods; pattern recognition

Indexed keywords

ABNORMAL PATTERNS; AUTOMATIC RECOGNITION; BINARY SVM; CONTROL CHART PATTERN; CONTROL CHARTS; IMPLEMENTATION METHODS; MONTE CARLO SIMULATION; MULTICLASS SVM; OAA METHODS; RECOGNITION ACCURACY; SIMULATED EXPERIMENTS; TRAINING AND TESTING; TRAINING DATASET;

BINARY TREES; CONTROL SYSTEMS; DECISION TREES; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; PATTERN RECOGNITION; STATISTICAL PROCESS CONTROL;

FLOWCHARTING;

EID: 84858768985     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27869-3_5     Document Type: Conference Paper

References (8)

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