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Application of Artificial Neural Networks for removing ambiguity in gravity data interpretation

عنوان مقاله: Application of Artificial Neural Networks for removing ambiguity in gravity data interpretation
شناسه ملی مقاله: NCCEG01_036
منتشر شده در همایش ملی مهندسی عمران و زمین شناسی در سال 1394
مشخصات نویسندگان مقاله:

Ali Amjadi - Department of Physics, Ministry of Education, Total Office of Education, Ilam Province, Ilam, Iran
Omid Olfati - Department of Physics, College of Sciences, Eslam Abad-e-Gharb Branch, Islamic Azad University, Tehran, Iran
Hadi Abbasi - Department of Geophysics, College of Basic Science, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
Reza Ghafarniae - Educators University of Shahid Modares, Pardis in Ilam, Ilam, Iran

خلاصه مقاله:
Research in the field of neural networks has been attracting increasing attention in recent years. Since 1943, when Warren McCulloch and Walter Pitts presented the first model of artificial neurons, new and more sophisticated proposals have been made from decade. Neural networks have gained popularity in geophysics during last decade. They have been applied successfully to a variety of problems in geophysics. Nowadays Neural Networks are also used in microchip technology for computer hardware. Recent developments in gravity measurements and especially in microgravity tools have been prepaid excellent conditions for data acquisition to make better interpretation results specially detection of gravity sources.

کلمات کلیدی:
Artificial Neural Networks, gravity data, inverse problems, microgravity

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/590201/