Paper Title:
Application of Radial Basis Function Networks Combined with Genetic Algorithm in Predicting the Geometric Parameters of Drawbead
  Abstract

The drawbead plays a very important role in automobile covering part forming processes. Traditional drawbead design mainly depends on designers’ experience. In order to obtain proper restraining force during die try-out, it is often necessary to adjust the drawbead through a very complicated procedure. It is thus meaningful to study the relationship between the parameters used to reflect metal forming effects and the geometric parameters of drawbead and then create a prediction model for them. This paper employs the radial basis function neural network technology to predict the geometric parameters of drawbead used in forming processes, where the genetic algorithm is used to optimize the neural network structure. Simulation results show that the proposed approach outperforms the curve fitting method.

  Info
Periodical
Chapter
Chapter 4: Manufacturing Systems Modeling and Optimization
Edited by
Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li
Pages
790-794
DOI
10.4028/www.scientific.net/AMM.101-102.790
Citation
J. L. Chen, D. Z. Jiang, Y. Y. Huang, "Application of Radial Basis Function Networks Combined with Genetic Algorithm in Predicting the Geometric Parameters of Drawbead", Applied Mechanics and Materials, Vols. 101-102, pp. 790-794, 2012
Online since
September 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: Chuan Yin Tang, Guang Yao Zhao, Yi Min Zhang, Xiao Yu E
Abstract:A six degrees of freedom half body vehicle suspension system is presented in the paper .The Back Propagation neural network algorithm and the...
149
Authors: Yu Min Pan, Cheng Yu Huang, Quan Zhu Zhang
Abstract:In order to improve the precision of gas emission forecasting,this paper proposes a new forecasting model based on Particle Swarm...
605
Authors: Feng Wang, Zhi Zhong Tan, De You Liu, Xiang Dong Qian
Chapter 4: Pharmaceutical, Chemical and Energy Engineering
Abstract:This paper analyzes the importance of the wind farm wind speed prediction, as well as the different forecasting methods in various fields....
741
Authors: Yue Ren Wang
Chapter 4: Electronics and Microelectronics, Embedded and Integrated Systems, Communications, Power and Energy, Electric and Magnetic Systems
Abstract:With the interconnection of the large-scale wind power, wind power forecasting is particularly important to the dispatcher of power grid....
1107