Title :
Static effect of MagnetoTellric data processed by neural network
Author :
Gong Yu-Rong ; Tang Jing-tian ; Cai Jian-Hua
Author_Institution :
Inst. of Info-Phys. & Geomatics Eng., Central South Univ., Changsha, China
Abstract :
In the frequency domain, the static effect has a huge impact on the MagnetoTellric signal, it also has enormous impact on the conclusion of the deep electrical structure. Do a good deal with the static effect is very important to the analysis result. In this paper, adopt the neural networks algorithm which is called BP to remove the static effect. Simulated the model of geophysics by MATLAB box found that this way has a good effect to get rid of the static effect.
Keywords :
backpropagation; geophysics; geophysics computing; magnetotellurics; neural nets; MATLAB box; MagnetoTellric signal; backpropagation; frequency domain; geophysics; neural network algorithm; static effect; Adaptation model; Artificial neural networks; Conductivity; Data models; Electric fields; Training; BP neural network; MT(MagnetoTelluric); neural network; static effect;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5582868
