基于反射波法评价锚杆锚固质量的BP网络模型
首发时间:2010-01-19
摘要:提出低应变应力波反射法与BP神经网络相结合建立了判断锚杆锚固质量的网络模型。该网络模型采用了低应变应力波反射法的波形作为影响锚杆锚固质量的主要因素,将波形在其时域方向等分,把各点的波幅作为BP网络的输入数据,并将锚杆锚固质量等级分为4级。研究表明,该模型实现了对锚杆锚固质量的预测评价,为锚杆锚固质量的智能化分类提供了一种新的方法。
关键词: 低应变应力波反射 BP神经网络 锚杆锚固质量 归一化 共轭梯度
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A BP network model for evaluating the quality of rock bolt system based on the reflected wave method
Abstract:A bp network model for evaluating the quality of rock bolt system based on the low strain reflected stress wave method is suggested. The model adopts waves of the low strain reflected stress wave method as the main factors of the quality of rock bolt system. These waves are divided equally in its time domain direction , take the wave amplitudes as the input data of BP network and divide the quality level of rock bolt system into four grades. The research shows that the quality of rock bolt system can be predicted and evaluated by the model. The model provides a new method for classifying the quality of rock system intelligently.
Keywords: low strain reflected stress wave BP neural network quality of rock bolt system normalized conjugate gradient
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No.3917951311312638****
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