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

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.

کلیدواژه ها:

Artificial Neural Networks ، gravity data ، inverse problems ، microgravity