Safety Assessment of the General Overhead Traveling Crane Metal Structure Based on BP Neural Network

被引：3

作者：

Xu, Gening ^{[1
]}

Zhang, Qian ^{[1
]}

机构：

[1] Taiyuan Univ Sci & Technol, Sch Mech & Elect Engn, Taiyuan 030024, Shanxi, Peoples R China

来源：

ADVANCES IN ENGINEERING DESIGN AND OPTIMIZATION II, PTS 1 AND 2 | 2012年 / 102-102卷

关键词：

BP Neural Network; BP algorithm; the General overhead traveling crane; metal structure; Safety Assessment;

D O I：

10.4028/www.scientific.net/AMM.101-102.15

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Safety assessment of bridge crane metal structure is widely needed. A general bridge safety assessment model of metal structure based on BP neural network is established. BP neural network is suitable for the problem that is not fully known and the adaptability of the dynamic system, and can facilitate the assignment and statistics of the safety evaluation system. Matlab7.0 software is used for the network training process. Through the training, samples to be tested were verified for the feasibility of the security model. The security model based on BP neural network for the general overhead traveling crane structure could provide a safety assessment and evaluation methods.

引用

页码：15 / 20

页数：6