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《Progress In Geophysics》 2005-01
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Application of impedance inversion based on BP neural network

YANG Li-qiang, SONG Hai-bin, HAO Tian-yao (Institute of Geology and Geophysics , Chinese Academy of Sciences, Beijing 100029, China)  
Artificial neural network is one of study fruits in artificial intelligence field which is being developed very quickly at present time. Based on introducing the theory of BP network, this paper has put forward a impedance inversion method using BP network model to solve some problems such as the initial model sensitivity, frequent local traps for the conventional impedance inversion based on model. The result of real data indicates the method is effective and getting the satisfying high precision inversion results.
【Fund】: 中国科学院知识创新重大项目(KZCX1 SW 18 6) 资助.
【CateGory Index】: P631.8
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