Research and application of integration of RS and FNN in defect recognition of welding

Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

Volumn 41, Issue 1, 2009, Pages 141-144

  Zhang, Xiao Guang ^a,b   Sun, Zheng ^a   Ruan, Dian Xu ^a   Xu, Gui Yun ^a   Liu, Xiao Ping ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

Fuzzy set; Neural network; Recognition; Rough set; Welding defect

Indexed keywords

CLUSTERING ALGORITHMS; DEFECTS; FAILURE ANALYSIS; FUZZY NEURAL NETWORKS; FUZZY SETS; IMAGE PROCESSING; INTEGRATION; QUALITY ASSURANCE; RAPID SOLIDIFICATION; ROUGH SET THEORY; WELDING;

ANTECEDENT COVERAGE FACTORS; DECISION RULES; DEFECT RECOGNITION; DEPENDENT FACTORS; FUZZY C MEANS; FUZZY DECISION RULES; FUZZY LOGICAL; FUZZY SET; FUZZY-NEURAL-NETWORK; IMAGE DEFECTS; INITIAL PARAMETERS; MODEL PARAMETERS; NOISE-INTERFERENCES; RECOGNITION; RECOGNITION ALGORITHMS; RESEARCH AND APPLICATIONS; ROUGH SET; SAMPLE DATUM; SIMULATION RESULTS; WEIGHTED COST FUNCTIONS; WELDING DEFECT;

FUZZY INFERENCE;

EID: 61949377261     PISSN: 03676234     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

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4. Norwegian University of Science and Technology, Department of Computer and Information Science. The ROSETTA homepage[EB/OL]. http://www.idi.ntnu.no/-aleks/rosetta/.