Application of Artificial Neural Networks for removing ambiguity in gravity data interpretation
Publish place: On Modern Archievements in Civil Engineering Architecture, Environment and Urban Management
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CAECONF01_122
تاریخ نمایه سازی: 22 مهر 1394
Abstract:
Research in the field of neural networks has been attracting increasing attention in recent years. Since 1443, 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 NeuralNetworks 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
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Authors
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
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