The evaluation of reliability in the process of shipbuilding based on wavelet neural network
The system of reliability in the process of shipbuilding shows the characteristics of dynamics, randomness and uncertainty, and the system is a typical nonlinear system. Due to the limitations of traditional mathematical methods solving the nonlinear 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.
shipbuilding reliability evalaution wavelet neural network
Hui Chen Rong Xie
Department of Ship Engineering, Jiangsu Maritime Institute Nanjing, China
国际会议
杭州
英文
205-208
2012-10-28(万方平台首次上网日期,不代表论文的发表时间)