Now showing items 1-10 of 1198
Artificial neural network model of discharge lamps in the power quality context
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 ...
EM-based optimization of microwave circuits using artificial neural networks: the state of the art
(IEEE Trans. Microwave Theory Tech.;52, 2004-01)
Modeling and analysis of artificial neural networks applied in operations research
(Elsevier B.V., 2001-01-01)
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a ...
Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks
This paper presents models that can be used in the design of microstrip antennas for mobile communications. The antennas can be triangular or rectangular. The presented models are compared with deterministic and empirical ...
Forecasting gold price changes: Rolling and recursive neural network models
This paper analyzes recursive and rolling neural network models to forecast one-step-ahead sign variations in gold price. Different combinations of techniques and sample sizes are studied for feed forward and ward neural ...
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
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
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 ...