首页 | 本学科首页   官方微博 | 高级检索  
     

Elman神经网络在起重机安全评估中的应用
引用本文:蔡福海,罗建国,王欣,赵福令.Elman神经网络在起重机安全评估中的应用[J].山西机械,2014(2):109-110,113.
作者姓名:蔡福海  罗建国  王欣  赵福令
作者单位:[1]大连理工大学,辽宁大连116023 [2]赤峰市特种设备检验所,内蒙古赤峰024000 [3]大连理工大学徐州工程机械研究中心,江苏徐州221004
基金项目:国家科技支撑计划项目(201IBAF04801);国家质检总局科技计划项目(2013QK168);江苏省产学研联合创新资金项目(BY2012089)
摘    要:介绍了Elman神经网络在起重机安全评估过程中的应用原理,指出了Elman神经网络发挥的巨大作用。通过对起重机安全保护装置对起重机安全作业的影响分析,建立了评估模型和结构参数,通过120个评估样本的测试,安全评估正确率可达到95%以上,具有较高的正确率。

关 键 词:Elman神经网络  起重机  安全评估  应用

Crane Safety Evaluation Based on Elman Neural Network
CAI Fuhai,LUO Jianguo,WANG Xin,ZHAO Fuling.Crane Safety Evaluation Based on Elman Neural Network[J].Shaanxi Machinery,2014(2):109-110,113.
Authors:CAI Fuhai  LUO Jianguo  WANG Xin  ZHAO Fuling
Affiliation:1. Dalian University of Technology, Dalian 116023, China; 2. Chifeng Special Equipment Inspection Center, Chifeng 024000, China; 3. Xuzhou Construction Machinery Research Center of Dalian University of Technology, Xuzhou 221004, China)
Abstract:This article described the application principle of Elman neural network in crane safety assessment process ,pointed out the importance of Elman neural network .By analysis on the influences of crane safety devices on the safe operation of crane ,an evaluation model was established and the structural parameters were set up ,and 120 samples were tested .The results show the safety assessment accuracy rate can reach 95% or more ,with high accuracy .
Keywords:Elman neural network  crane  safety evaluation  application
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号