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引用本文:熊晶,吴云,林剑. ��BP�����缼��̽���봨����ǰ�����NmF2�쳣�Ŷ�[J]. 大地测量与地球动力学, 2013, 33(1): 13-16
作者姓名:熊晶  吴云  林剑
作者单位:中国地震局地震研究所(地震大地测量重点实验室),武汉430071;中国地震局地壳应力研究所武汉科技创新基地,武汉430071
基金项目:中国地震局行业专项(201108004)
摘    要:????UCAR??????????F2???????????????NmF2??????????????缼???????????????NmF2???????????DOY???????LT??????LON??γ??LAT??F10.7????????FLUX???????????NmF2???????????????????NmF2????????ο????????????????????????????2008??5??12????7.9??????????и??????NmF2???????6??4??6??8?????С?30%???????3??2??9??10????????????40%??

关 键 词:?????????  ????  ???????  ?????  ???????  

IONOSPHERIC ELECTRON DENSITY ANOMALIES DETECTED BY BP ARTIFICIAL NEURAL NETWORK BEFORE WENCHUAN EARTHQUAKE
Xiong Jing,Wu Yun,and Lin Jian. IONOSPHERIC ELECTRON DENSITY ANOMALIES DETECTED BY BP ARTIFICIAL NEURAL NETWORK BEFORE WENCHUAN EARTHQUAKE[J]. Journal of Geodesy and Geodynamics, 2013, 33(1): 13-16
Authors:Xiong Jing  Wu Yun  and Lin Jian
Affiliation:1,2) 1)Key Laboratory of Earthquake Geodesy,Institute of Seismology,CEA,Wuhan 4300712)Wuhan Base of Institute of Crustal Dynamics,CEA,Wuhan 430071
Abstract:On the basis of the F2 layer peak electron density(NmF2) from University Corporation for Atmospheric Research(UCAR), we constructed a Back Propogation(BP) artificial neural network(ANN) in order to detect pre earthquake anomalies for the first time. The ANN provides NmF2 model value with five parameters:DOY,local time(LT), longitude(LON), latitude(LAT) and solar activity index of F10.7(FLUX). We compare the model value with observations during the Wenchuan earthquake. It is found that NmF2 around the forthcoming epicenter decreased remarkably in the afternoon period of day 6-4 before the earthquake, but enhanced day 3-2 before the earthquake.
Keywords:artificial neural network (ANN)  occulation  earthquake precursor  ionosphere  electron density
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