Paper Info
Title
A Multiwavelet Neural Network-Based Response Surface Method for Structural Reliability Analysis.
Abstract
A new multiwavelet neural network-based response surface method is proposed for efficient structural reliability assessment. Although multiwavelet network can be used for approximating nonlinear functions, its application has been limited to small dimension problems due to computational cost. The new method expands the application of multiwavelet network to moderate dimension by introducing a series of intermediate nodes, and the number of these intermediate nodes is determined by the multiwavelet theory. Thus, a multidimensional function learning problem is transformed into a one-dimensional function learning problem. Four examples involving one stochastic finite element-based reliability problem illustrate the effectiveness of the proposed method, which indicate that the new method is more efficient up to 10 random variables than the classical multilayer perceptron-based response surface method.
Year
DOI
Venue
2015
10.1111/mice.12086
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Keywords
Field
DocType
wavelets,neural networks,finite element method,reliability,structural analysis,uncertainty
Random variable,Mathematical optimization,Nonlinear system,Finite element method,Structural reliability,Function learning,Multilayer perceptron,Artificial neural network,Mathematics,Wavelet
Journal
Volume
Issue
ISSN
30.0
2.0
1093-9687
Citations 
PageRank 
References 
9
0.60
16
Authors
3
Name
Order
Citations
PageRank
Hongzhe Dai1653.70
Hao Zhang29715.19
Wei Wang3151.14