The magnetic field exposure of the laptop users represents an important task to be researched. This paper proposes an artificial neural network model for the prediction of the extremely low-frequency magnetic field produced by laptops. It is based on measurement data of 10 laptops and a 3-input vector representing typical laptop characteristics. The novelty of the proposed model is that it is created in order to predict the level of the magnetic field emission produced by a laptop when it is powered by both alternating current and battery. Then, the obtained data are classified by the self-organizing map method to describe the safe or dangerous level of a laptop. At the end, a few suggestions are proposed for a safer use of the laptops.
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