Paper Title:
Temperature Prediction of Friction Stir Welding Based on Bayesian Neural Network
  Abstract

This paper established a neural network based on Bayesian regularization, which was used for temperature prediction of feature points in friction stir welding metal. Sample data included rotation speed, welding speed, distance, depth, time and temperature of feature points. The representative sample data was obtained through the orthogonal experiments. Neural network was improved by Bayesian algorithm, and the constraint term representing complexity of network was introduced into the objective function. Then generalization ability of neural networks has been enhanced. Prediction accuracy, training time and stability of network are better than in the traditional neural network. Test proved that this smaller network model operates faster, and it can accurately predict the temperature of feature points of friction stir welding.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
1208-1212
DOI
10.4028/www.scientific.net/AMM.48-49.1208
Citation
S. J. Chen, Z. K. Zhang, "Temperature Prediction of Friction Stir Welding Based on Bayesian Neural Network", Applied Mechanics and Materials, Vols. 48-49, pp. 1208-1212, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ye Hong Dong, Dong Xiang, Guang Hong Duan
Abstract:In order to address the problem of quality control faced in multi-type and small-batch manufacturing mode, the method based on Bayesian...
292
Authors: Lei Song, Xiao Qing Hu
Abstract:The 2.5′×2.5′resolution local quasi-geoid is calculated using the global gravity field model and GPS/leveling data of region which points...
2903
Authors: Yi Jian Liu, Li Ming Di, Yan Jun Fang
Chapter 6: Algorithm Design
Abstract:A novel modeling method based on Bayesian inferring for dynamic nonlinear system is proposed in this article. The Bayesian inferring model...
1640
Authors: Dou Nan Tang, Min Yang, Mei Hui Zhang
Chapter 7: Transportation Planning and Traffic Control
Abstract:In recent years, Bayesian networks and neural networks have been widely applied to the travel demand prediction area. However, their...
717
Authors: Yan Feng Zhang, Ting Ting Li
Chapter 3: Data Acquisition and Data Processing, Computational Techniques
Abstract:C4.5, Bayesian network and Sequential Minimal Optimization (SMO) are three typical classification algorithms in data mining. Using...
963