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|Title:||Neuro hybrid model to predict weld bead width in submerged arcwelding process|
|Authors:||Dhas, J Edwin Raja|
|Keywords:||Bead width;Hybrid neuro model;Multiple regression model;Submerged arc welding|
|Abstract:||This paper presents development of neuro hybrid model (NHM) to predict weld bead width in submerged arc welding.Experiments were designed using Taguchi’s principles and results were used to develop a multiple regression model. Data setgenerated from Multiple Regression Analysis (MRA) was utilized in ANN model, which was trained with backpropagation algorithm in MATLAB platform and used to develop NHM to predict quality of weld. NHM is flexible and accurate than existing models for a better online monitoring system.|
|ISSN:||0975-1084 (Online); 0022-4456 (Print)|
|Appears in Collections:||JSIR Vol.69(05) [May 2010]|
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