Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems

Expert Systems with Applications

Volumn 35, Issue 3, 2008, Pages 1293-1300

  Tsai, Tung I ^a   Li, Der Chiang ^b  

^a TAINAN UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Bootstrap; Manufacturing system; Pilot runs; Small data set

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; ERROR ANALYSIS; LEAD; LEARNING SYSTEMS; MANUFACTURE; METROPOLITAN AREA NETWORKS; NETWORK PROTOCOLS; NEURAL NETWORKS; PRODUCTION ENGINEERING;

ARTIFICIAL NEURAL NETWORK (ANNS); ELSEVIER (CO); LEAD TIME; LIMITED DATA; MANUFACTURING SYSTEMS; MASS PRODUCTION; MATERIAL CHANGES; PREDICTION ERRORS; PRODUCTION EQUIPMENTS; PRODUCTION PROCESSES; SMALL DATA SET LEARNING; SMALL DATA SETS; SPARSE DATA; TRAINING DATA;

KNOWLEDGE BASED SYSTEMS;

EID: 44949233167     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.08.043     Document Type: Article

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