DocumentCode
3349645
Title
Study of seismic activity in Central Asia applying a parallel distributed paradigm
Author
Lin, Frank C. ; Panikkar, Indira
Author_Institution
Dept. of Math & Comput. Sci., Maryland Univ., Princess Anne, MD, USA
Volume
3
fYear
34881
fDate
10-14 Jul1995
Firstpage
2195
Abstract
Historical data of time, location and magnitude of earthquakes in Central Asia from 25 A.D. to the present are inputted into a neural network and trained using the backpropagation paradigm. The resulting network is utilized to make predictions
Keywords
backpropagation; earthquakes; geophysics computing; neural nets; seismology; AD 0025 to 1995; Central Asia; China; backpropagation; earthquake prediction; forecasting; geophysical computing; location; magnitude; neural net; neural network; parallel distributed paradigm; prediction; seismic activity; seismicity; seismology; training; Asia; Backpropagation; Computer science; Earthquakes; Mathematical model; Neural networks; Predictive models; Seismology; Solids; Technology forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.524145
Filename
524145
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