Neural Networks Application to Reduction of Train Caused Distortions in Magnetotelluric Measurement Data
Journal Title: Schedae Informaticae - Year 2009, Vol 2009, Issue 0
Abstract
Artificial intelligence methods for MT data processing are proposed. Distortions having a complex structure created by external artificial sources such as, for example, passing train were investigate. In the first part of this paper the time intervals with such type of distortions were found by using a special neuronal system. Next for time intervals found in the first stage the measure curve fragment is removed and then it is replied by the fragment created by a trained perceptron. The experiment showed that used method are effective.
Authors and Affiliations
Marzena Bielecka, Tomasz Danek, Marek Wojdyła, Grzegorz Baran
Keywords
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