STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK

LI YongHua; CHEN Peng; TIAN ZongRui; CHEN ZhiHao

doi:10.16579/j.issn.1001.9669.2021.06.013

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STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK

更新时间：2022-09-22

- STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK
- Journal of Mechanical Strength Vol. 43, Issue 6, Pages: 1359-1365(2021)
- 作者机构：
  
  1. 大连交通大学机车车辆工程学院
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2021.06.013
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LI YongHua, CHEN Peng, TIAN ZongRui, et al. STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK. [J]. 43(6):1359-1365(2021)
DOI：

LI YongHua, CHEN Peng, TIAN ZongRui, et al. STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK. [J]. 43(6):1359-1365(2021) DOI： 10.16579/j.issn.1001.9669.2021.06.013.

摘要

针对传统BP神经网络代理模型拟合精度不足和计算效率较低的问题,采用思维进化算法(MEA)优化BP神经网络,提出一种基于改进BP神经网络代理模型的可靠度计算方法。首先采用MEA对BP神经网络的权值和阈值进行优化,获取最优的初始值,然后利用贝叶斯正则化(BR)算法对优化过后的网络进行训练,建立MEA-BR-BP神经网络代理模型,并采用测试函数验证改进代理模型的有效性,最后结合Monte Carlo法计算转向架构架的可靠度。研究结果表明:所提方法在提高拟合精度的同时兼顾了计算效率,验证了所提方法的优越性和可行性。

Abstract

Aiming at the problems that traditional BP neural network surrogate model had deficiency of fitting accuracy and computational efficiency, the Mind Evolutionary Algorithm was used to optimize BP neural network and an improved BP neural network surrogate model reliability calculation method was proposed. Firstly, the Mind Evolutionary Algorithm was used to optimize the weights and thresholds of BP neural network to obtain the optimal initial value. Secondly, the Bayesian Regularization algorithm was used to train the optimized neural network to establish MEA-BR-BP neural network surrogate model and verify the effectiveness of the improved surrogate model used test function. Finally, the reliability calculation results were calculated with the Monte Carlo method. The results show that the proposed method improves the fitting accuracy and gives consideration to the calculation efficiency, which verifies the superiority and feasibility of the proposed method.

关键词

BP神经网络代理模型思维进化算法可靠性分析转向架构架

Keywords

BP neural networkSurrogate modelMind evolutionary algorithmReliability analysisBogie frame

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