Fast algorithm for apparent resistivity calculation based on back propagation neural networks
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    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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  • Received:May 16,2009
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