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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 ...
Prediction of modulus of elasticity and compressive strength of concrete specimens by means of artificial neural networks
(Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, 2016-01-01)
Currently, artificial neural networks are being widely used in various fields of science and engineering. Neural networks have the ability to learn through experience and existing examples, and then generate solutions and ...
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 ...
Image segmentation with artificial neural network for nutrient deficiency in cotton crop
(2014-01-01)
The leaf analysis in a crop can present the need of a nutrient determined in the plant. The macronutrients deficiency in the cotton crop can be identified by specific type of colors variation by leaves images. Early ...
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 ...
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 ...
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 ...
Avaliação estatística de métodos de poda aplicados em neurônios intermediários da rede neural MLP
(2006-12-01)
There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved ...
AN ARTIFICIAL NEURAL SYSTEM FOR CLOSED-LOOP CONTROL OF LOCOMOTION PRODUCED VIA NEUROMUSCULAR ELECTRICAL-STIMULATION
(Blackwell Science Publ Inc CambridgeCambridge, 1995)
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2011)