Paper Title:
Research on Constructing Surrogate Model of Coronary Stent Mechanical Property
  Abstract

Coronary stents are small tube-like structures expanded into stenotic arteries to restore blood flow perfusion to the downstream tissues. In this paper, based on the finite element analysis (FEA), both the response surface model (RSM) and radial basis function neural network (RBFNN) are used to construct the surrogate model for stent recoil performance. Precision between these two surrogate models are compared. The results show that the surrogate model with RBFNN is more reliable and efficient.

  Info
Periodical
Edited by
Long Chen, Yongkang Zhang, Aixing Feng, Zhenying Xu, Boquan Li and Han Shen
Pages
564-567
DOI
10.4028/www.scientific.net/KEM.464.564
Citation
X. Shen, "Research on Constructing Surrogate Model of Coronary Stent Mechanical Property", Key Engineering Materials, Vol. 464, pp. 564-567, 2011
Online since
January 2011
Authors
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: H.S. Lu, B.Y. Lee, C.T. Chung, Y.L. Liu
Abstract:This paper presents a predicted model of surface roughness of radial relief for resharpening end-mill. This model is constructed using a...
523
Authors: A. Amer, Ahmed Abdalla, A. Noraziah, Ainul Azila Che Fauzi
Chapter 1: Research and Design of Machinery in Energy Industry and Energy Technologies for Industry
Abstract:With the increasing cost of fuel price minimizing fuel consumption is a major concern as far as sustainable engineering is concerned It is...
3
Authors: Yung Ching Lin, Lee Kuo Lin, Shao Hong Tsai
Chapter 10: Roads, Railway Engineering and Traffic Engineering
Abstract:Since the adoption of open-air policy, people make more frequent use of air travel to do various business or tourism activities. The volume...
1063