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Fine-tuning enhanced probabilistic neural networks using metaheuristic-driven optimization
(2016-08-11)
Many approaches using neural networks have been studied in the past years. A number of architectures for different objectives are presented in the literature, including probabilistic neural networks (PNNs), which have shown ...
Monitoring in precision metal drilling process using multi-sensors and neural network
(2013-04-01)
This paper presents a new method to estimate hole diameters and surface roughness in precision drilling processes, using coupons taken from a sandwich plate composed of a titanium alloy plate (Ti6Al4V) glued onto an aluminum ...
Monitoring in precision metal drilling process using multi-sensors and neural network
(2013-04-01)
This paper presents a new method to estimate hole diameters and surface roughness in precision drilling processes, using coupons taken from a sandwich plate composed of a titanium alloy plate (Ti6Al4V) glued onto an aluminum ...
Evaluation of neural models to estimate the roughness of advanced ceramics in surface grinding
(2015-01-01)
There is an increasing trend for ceramic components to replace metal ones due to their excellent physical, chemical and mechanical properties. However, many of the characteristics that make ceramics so attractive also make ...
A barrier method for constrained nonlinear optimization using a modified Hopfield network
(2001-01-01)
The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter ...
A barrier method for constrained nonlinear optimization using a modified Hopfield network
(2001-01-01)
The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter ...
Weight vector estimation of circular arrays of antennas using Artificial Neural Networks
(2008-12-01)
This paper presents a model for the control of the radiation pattern of a circular array of antennas, shaping it to address the radiation beam in the direction of the user, in order to reduce the transmitted power and to ...
Weight vector estimation of circular arrays of antennas using Artificial Neural Networks
(2008-12-01)
This paper presents a model for the control of the radiation pattern of a circular array of antennas, shaping it to address the radiation beam in the direction of the user, in order to reduce the transmitted power and to ...
Estimadores de frequência aplicados a sistemas elétricos de potência
(Universidade Federal de Santa MariaBREngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia Elétrica, 2013-03-08)
The frequency estimation is a problem widely studied in many fields including electric power systems. Several methods have been proposed for this purpose, and most of them perform well when the signal is not distorted by ...