Paper Title:
The Reinforcement Rib Performance Prediction Based on the BP Algorithm and the Finite Element Analysis
  Abstract

The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the BP algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with BP artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction; meanwhile it can guide the bottle design in practical terms.

  Info
Periodical
Chapter
Chapter 2: Simulation and Engineering Optimization
Edited by
Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li
Pages
212-215
DOI
10.4028/www.scientific.net/AMM.101-102.212
Citation
L. Y. Su, X. S. Li, X. F. Yin, X. Y. Feng, S. W. Ruan, "The Reinforcement Rib Performance Prediction Based on the BP Algorithm and the Finite Element Analysis", Applied Mechanics and Materials, Vols. 101-102, pp. 212-215, 2012
Online since
September 2011
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Price
$32.00
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