Preliminary analysis of the effectiveness of the use of artificial neural networks for modeling time-voltage signal of the combination wave generator

This paper presents the construction the time-voltage signal output model of the combination wave generator using neural networks. The discussed model of surge was developed using feedforward neural networks with one hidden layer with four neurons. The results of the comparative tests show the high efficiency of Leveneberg-Marquardt algorithm using in the developed model, despite the lack of optimization of the structure. Presented at work model of the combination wave generator described in neural network, you can replace the traditional mathematical model of such a generator. Discussed above model can be used, inter alia, in the analysis of the operating of components and systems for surge protection of electrical equipment. This approach allows a particularly efficient execution of simulation calculations of the effects of atmospheric origin overvoltage protection systems operating on the surge electrical equipment.