Safety Evaluation Method of Lifting Appliances Based on BP Neural Network

摘要：

As the classification score of lifting security status in the traditional way,subjective factors affect the state of the score,resulting in the error between assessment and the actual situation.To avoid the impact of these factors,this study designs the neural network security for lifting assessment,using BP neural network approach.After training and simulation,the network is proved to get low training error and generalization error.The design and implementation of the safety evaluation method could help the standard management and safe use of cranes to achieve the preventive maintenance of lifting appliances,regulate the management of lifting appliances,for the protection of the safe operation and avoiding the huge catastrophic economic losses and accidents.

关键词： Lifting appliances Safety evaluation BP neural network BFGS method Hazard identification

作者: Li Shan Dong Xiaorui Rao Hong

作者单位: Center of Computer Nanchang University Nanchang,Jiangxi Province 330031,China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 384-387

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）