Edmilson M. Moreira

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A novel hierarchical hybrid neural model to the problem of long-term electrical load forecasting is proposed in this paper. The neural model is made up of two self-organizing map nets: one on top of the other, and a single-layer perceptron. It has application into domains which require time series analysis. The model is compared to a multilayer perceptron.(More)
This paper proposes the model of an Android based framework. It gives functionality to identify QRS complex, cardiac rhythm rate and filters. Moreover, with its software engineered structure, it can be expanded with children classes specialized on other functions, as well as automated heart decease diagnosis. As it is compatible with the standard Health(More)
A novel hierarchical hybrid neural model to the problem of long-term load forecasting is proposed in this paper. The neural model is made up of two self-organizing map nets—one on top of the other—and a single-layer perceptron. It has application into domains which require time series analysis. The model is compared to a mutilated architecture of it, and to(More)
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