Forecast for butt welding deformation of the medium thickness plate based on genetic neural network

Author

Wei, Jiang ; Gong-liang, Liu

Author_Institution

Coll. of Eng., Agric. Univ., Daqing, China

fYear

2011

fDate

22-24 April 2011

Firstpage

5068

Lastpage

5070

Abstract

In order to forecast the butt welding deformation of the medium thickness plate, and achieve the structural accuracy by target control measures, the method of genetic neural network is used to establish a three-layer network model, which is trained according to the training sample data. The trained genetic neural network is used to predict the butt welding deformation. The results show that the genetic neural network can be applied to forecast the medium thickness plate welding deformation. The forecast effect is in good agreement with the test result.

Keywords

butt welding; deformation; forecasting theory; genetic algorithms; learning (artificial intelligence); neural nets; plates (structures); structural engineering computing; butt welding deformation forecasting; medium thickness plate; structural accuracy; target control measures; three-layer network model; trained genetic neural network; training sample data; Artificial neural networks; Genetic algorithms; Genetics; Petroleum; Strain; Stress; Welding; butt welding; deformation forecast; genetic neural network; medium thickness plate;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on

Conference_Location

Lushan

Print_ISBN

978-1-4577-0289-1

Type

conf

DOI

10.1109/ICETCE.2011.5776489

Filename

5776489