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Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach.

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第一作者： Feibo,Jiang

第一单位： College of Information Science and Engineering, Hunan Normal University, Changsha 410081, PR China; School of Geosciences and Info-Physics, Central South University, Changsha 410083, PR China.

作者： Feibo,Jiang ^[1] ; Li,Dong ^[2] ; Qianwei,Dai ^[3]

作者单位： College of Information Science and Engineering, Hunan Normal University, Changsha 410081, PR China; School of Geosciences and Info-Physics, Central South University, Changsha 410083, PR China. ^[1] School of Geosciences and Info-Physics, Central South University, Changsha 410083, PR China; School of Computer and Information Engineering, Hunan University of Commerce, Changsha 410205, PR China. Electronic address: 156151245@qq.com. ^[2] School of Geosciences and Info-Physics, Central South University, Changsha 410083, PR China. ^[3]

关键词 Electrical resistivity imaging Inversion Kernel principal component analysis Shuffled frog leaping algorithm Wavelet neural network

医学主题词地球科学(Earth Sciences);导电性(Electric Conductivity);图像处理, 计算机辅助(Image Processing, Computer-Assisted);主成分分析(Principal Component Analysis)

DOI 10.1016/j.neunet.2018.04.012

PMID 29775850

发布时间 2019-12-10

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