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Multilayer Feedforward Neural Network for Internet Traffic Classification
Recently, the efficient internet traffic classification has gained attention in order to improve service quality in IP networks. But the problem with the existing solutions is to handle the imbalanced dataset which has ...
Rainfall prediction methodology with binary multilayer perceptron neural networks
(2019-02-15)
Precipitation, in short periods of time, is a phenomenon associated with high levels of uncertainty and variability. Given its nature, traditional forecasting techniques are expensive and computationally demanding. This ...
Kinetic study of anti-HIV drugs by thermal decomposition analysis: a multilayer artificial neural network propose
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE QUÍMICAUFMG, 2017)
Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection
(2013-08-26)
The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive ...
Multilayer perceptron neural networks training through charged system search and its Application for non-technical losses detection
(2013-08-26)
The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive ...
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals
(2019-01-11)
We modeled Multilayer Perceptron (MLP) Artificial Neural Network for predicting band diagrams (BD) of bi-dimensional photonic crystals. Datasets for MLP training were created by relating geometric and material properties ...
Multilayer Perceptron Models for Band Diagram Prediction in bi-dimensional Photonic Crystals
(Ieee, 2018-01-01)
We modeled Multilayer Perceptron (MLP) Artificial Neural Network for predicting band diagrams (BD) of bi-dimensional photonic crystals. Datasets for MLP training were created by relating geometric and material properties ...
Análise de desempenho da rede neural artificial do tipo multilayer perceptron na era multicore
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2012-08-07)
Artificial neural networks are usually applied to solve complex problems. In problems
with more complexity, by increasing the number of layers and neurons, it is possible to
achieve greater functional efficiency. Nevertheless, ...