首页> 外文会议>International Conference on Automatic Control and Artificial Intelligence >Quantitative identification of broken wire for steel rope based on BP neural network
【24h】

Quantitative identification of broken wire for steel rope based on BP neural network

机译:基于BP神经网络的钢丝钢丝断线定量识别

获取原文

摘要

To counter the problem in quantitive identification of broken wire for steel rope, a BP neural network model was set up by using Matlab in the article. According to the simulative and real detection data, its features of reliability and usability were proved.
机译:为了解决钢丝绳断裂线的定量识别问题,物品MATLAB建立了BP神经网络模型。 根据模拟和实际检测数据,证明了其可靠性和可用性的特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号