Neural networks for estimating electrical characteristics of the surface of the Earth
Neural networks for estimating electrical characteristics of the surface of the Earth
复制标题
用于估计地球表面电气特性的神经网络
DOI：
10.1109/mmet.1996.565684
复制
发表时间：
1996
期刊：
影响因子：
--
通讯作者：
G. Cavalcante
中科院分区：
文献类型：
--
作者：
A. Custodio;G. Cavalcante
这项工作的目的是利用神经网络资源来确定地面的电特性。输入和输出的数据处理是通过计算表面波的场强来完成的，使用Bremmer和货车der Pol方程来训练神经网络模拟器。从贝伦郊区和农村地区的电场强度的测量结果，使用具有中波的无线电站作为发射机，发现地面参数的以下值：电导率为1.4 mS/m，相对介电常数为15。
The objective of this work is to utilize neural network resources to determine the electrical characteristics of the ground. The data processing of the input and output is done by calculating the field strength of the surface wave, using the Bremmer and Van der Pol equations, to train a neural network simulator. From the results of the measurement of electric field strength of the outskirts of Belem and rural area, using radio stations with medium wave as transmitters, the following values of the ground parameters were found: 1.4 mS/m for conductivity and 15 for relative permittivity.