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2.021  Articles
1 of 203 pages  |  10  records  |  more records»
It is made an attempt to discover an explainable plausible reason for a neuron activation function, of a sigmoid type function like logistic function, substantiation in terms of the multi-optional conditional optimality doctrine for the special hybrid-opt... see more

Samples of automotive ethanol, marketed in the northern and eastern regions of the state of Paraná, Brazil, underwent physical and chemical tests. Rates were assessed by Multilayer Perceptron (MLP) neural network for classification. For network training, ... see more

Money exchange between countries was done by using exchange rates. One of the examples was the exchange between Rupiah and US Dollar. Exchange rates prediction to US Dollar was an attempt to assist all related economic actors to avoid losses during the pr... see more

Backpropagation Neural Network (BPNN) is a Neural Network (NN) that moves forward and does not have a loop where the signal flow from input neurons to output neurons, while Recurrent Neural Network (RNN) is a NN model where architecture has at least one f... see more

Samples of automotive ethanol, marketed in the northern and eastern regions of the state of Paraná, Brazil, underwent physical and chemical tests. Rates were assessed by Multilayer Perceptron (MLP) neural network for classification. For network training, ... see more

Fatigue increases the tendency of poor train driving strategy decision. Decision making in cognitive overload and cognitive underload situation mostly outputs bad decisions. Accordingly, train driver’s cognitive function is required to be sTable duri... see more

En este trabajo se entrena y evalúa una red neuronal de convolución cuantizada de forma binaria para la clasificación de imágenes. Las redes neuronales binarizadas reducen la cantidad de memoria, y es posible implementarlas con menor hardware que las rede... see more

1 of 203 pages  |  10  records  |  more records»