摘要
煤层厚度与煤层反射波动力学参数之间具有非线性关系。该关系可以通过人工神经网络进行定量描述。该文介绍了人工神经网络反演煤层厚度的方法，为直接利用煤田地震资料确定煤层厚度提供了一种新的途径。
There exists non-linear relation between the coal layer thickness and the feflected wave mechanical parameters of the coal layer. This relation can be quantitatively described using the artificial neural network. The paper introduces the inversion method of the call layer thickness using the artificial neural network. Thus, it presents a new approach for the coal layer thickness determination using directly the coal mine seismic data.
出处
《勘察科学技术》
1999年第3期60-62,共3页
Site Investigation Science and Technology
关键词
煤层厚度
非线性反演
神经网络
反射波
coal layer thickness
dynamic parmeter of reflected wave
non-linear inversion
neural network
