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Prediction of the time series of relativistic electrons fluence in the outer radiation belt of the Earth encounters problems caused by complexity and non-linearity of the “solar wind – the Earth’s magnetosphere” system. Artificial neural networks are suitable tool in problems of this type. This study considers the quality of prediction depending on delay embedding of input features.