IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network

作者：

Highlights：

• FWNN is an interpretable inversion model for ERI.

• WNN is applied to enhance the high-order nonlinear fitting ability.

• EGD method is used to update the linear parameters.

• DAWOA is introduced to train the nonlinear parameters.

摘要

•FWNN is an interpretable inversion model for ERI.•WNN is applied to enhance the high-order nonlinear fitting ability.•EGD method is used to update the linear parameters.•DAWOA is introduced to train the nonlinear parameters.

论文关键词：Electrical resistivity imaging,Fuzzy wavelet neural network,Whale optimization algorithm,Elastic net

论文评审过程：Received 8 August 2021, Revised 14 January 2022, Accepted 28 March 2022, Available online 18 April 2022, Version of Record 27 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117066