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Artificial neural network model of discharge lamps in the power quality context
(2013-06-01)
This paper presents a methodology for modeling high intensity discharge lamps based on artificial neural networks. The methodology provides a model which is able to represent the device operating in the frequency of ...
Artificial neural networks for machining processes surface roughness modeling
(Springer London Ltd, 2010-08-01)
In recent years, several papers on machining processes have focused on the use of artificial neural networks for modeling surface roughness. Even in such a specific niche of engineering literature, the papers differ ...
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
(2001-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...
Weak-Form Market Efficiency of the Brazilian Exchange Rate: Evidence from an Artificial Neural Network Model
(2016-04-02)
This article utilizes an artificial neural network model to examine the hypothesis of weak-form market efficiency for the monthly Brazilian exchange rate from 1999 to 2013. The method of partial derivatives suggested by ...
Artificial neural networks and clustering techniques applied in the reconfiguration of distribution systems
(Institute of Electrical and Electronics Engineers (IEEE), 2006-07-01)
One objective of the feeder reconfiguration problem in distribution systems is to minimize the power losses for a specific load. For this problem, mathematical modeling is a nonlinear mixed integer problem that is generally ...
Investigating Prediction Performance of an Artificial Neural Network and a Numerical Model of the Tidal Signal at Puerto Belgrano, Bahia Blanca Estuary (Argentina)
(De Gruyter, 2013-12)
In the present study we compare performances of the prediction of hourly tidal level variations at Puerto Belgrano, a coastal site in the Bahia Blanca Estuary (Argentina), by means of the MOHID model, which is a numerical ...
Modeling thermal conductivity, specific heat, and density of milk: A neural network approach
(Marcel Dekker Inc, 2004-11-01)
The accurate determination of thermophysical properties of milk is very important for design, simulation, optimization, and control of food processing such as evaporation, heat exchanging, spray drying, and so forth. ...
Modeling thermal conductivity, specific Heat, and density of milk: A neural network approach
(2004-01-01)
The accurate determination of thermophysical properties of milk is very important for design, simulation, optimization, and control of food processing such as evaporation, heat exchanging, spray drying, and so forth. ...
A new approach to online training for the Fuzzy ARTMAP artificial neural network
(2021-12-01)
The evolution of internet resources has led to an increase in the flow of data and, consequently, the need for classification or forecasting models that support online learning. The Fuzzy ARTMAP neural network has been ...
Neural network for fractal dimension evolution
(Iwa Publishing, 2018-08-01)
The coagulation/flocculation process is an essential step in drinking water treatment. The process of formation, growth, breakage and rearrangement of the formed aggregates is key to enhancing the understanding of the ...