ESTIMATING BASE STATION-BASED INDOOR AND OUTDOOR ELECTRIC FIELD LEVELS BY ARTIFICIAL NEURAL NETWORKS

Year 2019, Volume: 9 Issue: 1, 1 - 12, 30.06.2019

Esin Karpat , Muhammed Rafet Bakcan Ahmed Takieddine Chabbar Mustafa Muhammedosman Abbaker İbrahim Berkant Çelik Oğuz Doğan

https://doi.org/10.36222/ejt.500040

Abstract

The measurement of the electric field and
the magnetic field is significant in order to determine electromagnetic
pollution level compared to standards. In Turkey, electric field limit value,
which is emitted by base station is 13.5 V/m for one mobile communication
operator. In addition, according to the regulation of
medical devices, the limit of electric field value inside the hospital, where
the medical devices are located, is 3 V/m. In this study, the measurement and
evaluation of electromagnetic pollution inside and outside the Bursa Uludag
University hospital building are performed and its compliance with national and
international standards is examined. Moreover, the distribution of electric field in the
environment is estimated by the artificial neural network and fuzzy logic
methods considering the measurement results. The measured electric field
values, estimated electric field values, and national standard values are
compared.

Keywords

Electromagnetic pollution, Electrical field, artificial neural network, fuzzy logic, prediction

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