基于BP网络的视电阻率快速计算
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国家自然科学基金资助项目(40874094);三峡库区生态环境教育部重点实验室访问学者基金资助项目(KLVF20071)


Fast algorithm for apparent resistivity calculation based on back propagation neural networks
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    摘要:

    为避开复杂的电磁场数值计算,判断地下异常,用于现场指导,提出了神经网络的方法。讨论了实际发射机电流的非阶跃下降,并结合所用发射机对响应公式进行了关断延时校正。分析了常规的数值计算方法,由核函数的特点选用三层反向传播(back propagation, BP)网络结构,通过训练确定隐含层单元数和收敛较好的算法。用2种常规的数值算法与文中方法做仿真实验的对比,实验表明,用BP网络计算能快速实现瞬变电磁数据的处理,指导瞬变电磁探测。

    Abstract:

    To avoid the complex numerical calculation for the electromagnetic field and determine underground abnormality, a neural network based method is proposed. In consideration of turnoff transmitter current, the effect of a linear ramp turnoff current on transmitter is corrected. The characteristics of transient expression and the traditional calculation algorithm for apparent resistivity are analyzed, and a predigest structure of network is obtained based on the kernel expression. The threelayer back propagation(BP) neural network is trained by using sample data in homogeneous halfspace, and its number in hidden layer was determined. The method proposed is compared with two traditional calculation methods with simulation experiments. The result demonstrates that BP neural network has a high speed of processing data and is useful in explanation of the transient electromagnetic method.

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谢品芳,谢林涛,付志红,张淮清.基于BP网络的视电阻率快速计算[J].重庆大学学报,2009,32(9):1111-1116.

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  • 收稿日期:2009-05-16
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