DocumentCode
589412
Title
The Evaluation of Reliability in the Process of Shipbuilding Based on Wavelet Neural Network
Author
Hui Chen ; Rong Xie
Author_Institution
Dept. of Ship Eng., Jiangsu Maritime Inst., Nanjing, China
Volume
1
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
205
Lastpage
208
Abstract
The system of reliability in the process of shipbuilding shows the characteristics of dynamics, randomness and uncertainty, and the system is a typical non-linear system. Due to the limitations of traditional mathematical methods solving the non-linear system, this paper applies the wavelet neural network model for reliability evaluation based on the index system and weight algorithm. Results prove that the wavelet neural network model can solve the evaluation problems in the non-linear system, and it can do better than the BP artificial neural networks in fitting accuracy and convergence rate, so the application of wavelet neural network model has an important value.
Keywords
neural nets; nonlinear systems; reliability; shipbuilding industry; wavelet transforms; convergence rate; index system; nonlinear system; reliability evaluation; shipbuilding; wavelet neural network; weight algorithm; Artificial neural networks; Indexes; Marine vehicles; Mathematical model; Reliability; Wavelet transforms; reliability evalaution; shipbuilding; wavelet neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.59
Filename
6406954
Link To Document