This work is a study of intelligent tools for forecasting losses in the transformer core, comparing with the traditionally accepted model. The uses of Artificial eural etworks (A ) search a best estimator of losses in the transformer core. Two models of A were proposed: Multi-Layer Percepton (MLP) and eo-Fuzzy euron ( F ). After an analysis of the model they were evaluated and it was concluded that the MLP model for this application had the best performance.
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