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In this article are presented results of trials of building an application based on probabilistic neural network, used to diagnose damages to the gear wheel teeth in the form of cracks at the base of the tooth. To determine the proper network learning process is necessary to get from the tested object numerous set of input data. Conducted researches are based on data obtained from the identified model...
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