Fuzzy rule based approach for predicting weld bead geometry in gas tungsten arc welding

Science and Technology of Welding and Joining

Volumn 13, Issue 2, 2008, Pages 167-175

  Ghanty, P ^a   Paul, S ^b   Roy, A ^a   Mukherjee, D P ^a   Pal, N R ^a   Vasudevan, M ^c   Kumar, H ^c   Bhaduri, A K ^c  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b Simplex Infrastructures Ltd   (India)

^c INDIRA GANDHI CENTRE FOR ATOMIC RESEARCH   (India)

Author keywords

Arc welding; Artificial neural networks; Exploratory data analysis; Fuzzy rule; Gas tungsten arc welding; Multilayer perceptron; Radial basis function

Indexed keywords

FUZZY RULES; GAS METAL ARC WELDING; LEAST SQUARES APPROXIMATIONS; MULTILAYER NEURAL NETWORKS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS;

EXPLORATORY DATA ANALYSIS; GAS TUNGSTEN ARC WELDING; TAKAGI-SUGENO MODEL;

WELDS;

EID: 43949088794     PISSN: 13621718     EISSN: 13621718     Source Type: Journal    
DOI: 10.1179/174329308X271751     Document Type: Article

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