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钢丝绳LF型断丝定量识别的神经网络法
引用本文:谭继文.钢丝绳LF型断丝定量识别的神经网络法[J].矿山机械,2002,30(3):37-39.
作者姓名:谭继文
作者单位:青岛建筑工程学院 山东
摘    要:基于神经网络理论,提出了钢丝绳损伤定量识别的新方法,建立了相应的BP网络模型。检测实验证明,运用该方法及其模型定量识别钢丝绳的LF型损伤,准确率高,自适应性强,是一种有效的实用方法。

关 键 词:BP学习算法  NN模型  钢丝绳  LF型断丝  识别  神经网络法

Nervous Network Method Identifying Cracked Wires of a Rope Quantitatively
Tan Jiwen.Nervous Network Method Identifying Cracked Wires of a Rope Quantitatively[J].Mining & Processing Equipment,2002,30(3):37-39.
Authors:Tan Jiwen
Abstract:Based on the nervous network theory,the arthor puts forward a new method with which rope damage can be identified quantitalively,builds the appropriate BP network model.Actual detection shows that it has high- accuracy and strong selt-adaptability that the application of the method and its model to quantitatively identifying the LF type of damage of a rope,therefore,it is a effective and practical method.
Keywords:Nervous  network theory Rope damage Quantitatively identifying  
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