Neural networks application to reduction of train caused distortions in magnetotelluric measurement data

Bibliographic description

title:	Neural networks application to reduction of train caused distortions in magnetotelluric measurement data
author:	Bielecka Marzena, Danek Tomasz, Wojdyła Marek, Baran Grzegorz
journal title:	Schedae Informaticae
volume:	17-18
date of publication :	2009
pages:	75-86
ISSN:	0860-0295
eISSN:	2083-8476
language:	English
journal language:	English
abstract in English:	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.
keywords in English:	MT data, neural network
affiliation:	Wydział Matematyki i Informatyki
type:	journal article
subtype:	academic paper