Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach-Reference-Cited by-同舟云学术

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

Published:2018-08 Issue: Volume:104 Page:114-123
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Jiang Feibo,Dong Li,Dai Qianwei

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation, China

Changsha Civic Science and Technology Program, China

Scientific Research Fund of Hunan Provincial Education Department, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference43 articles.

1. Artificial neural network simulation of combined humic substance coagulation and membrane filtration;Al-Abri;Chemical Engineering Journal,2008

2. Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks;Chauhan;Expert Systems with Applications,2009

3. The application of shuffled frog leaping algorithm to wavelet neural networks for acoustic emission source location;Cheng;Comptes Rendus Mécanique,2014

4. SAR Image segmentation based on convolutional-wavelet neural network and markov random field;Duan;Pattern Recognition,2017

5. Inversion of DC resistivity data using neural networks;El-Qady;Geophysical Prospecting,2001

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