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 :
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