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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 ...
Application of neuro-fuzzy inference system on wood identification
(2014-01-01)
Searching for systems with intelligent, flexible, and self-adjusting solutions on imaging, which could provide the contraction of the human operators' presence, a range of techniques is found. Each one of them can control ...
Comparative study between RBF and radial-PPS neural networks
(Spie - Int Soc Optical Engineering, 1998-01-01)
The study of function approximation is motivated by the human limitation and inability to register and manipulate with exact precision the behavior variations of the physical nature of a phenomenon. These variations are ...
Neural-network-based approach applied to harmonic component estimation in microgrids
(2021-01-01)
Power quality in smart microgrids must be carefully analyzed, whereas adverse consequences may harm the electrical systems without power management and appropriate measures. The main goal of this paper is to develop a 5th, ...
New contributions to the determination of resonance frequencies of rectangular microstrip antennas by neural networks
(2008-12-01)
This paper uses artificial neural networks (ANN) to compute the resonance frequencies of rectangular microstrip antennas (MSA), used in mobile communications. Perceptron Multi-layers (PML) networks were used, with the ...
Nonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks
(2021-05-31)
As digital coherent technology gets mature and its cost reduces, it is becoming a competitive solution for future implementations of high-capacity long-reach passive optical networks (LR-PON). In the case of single-channel ...
A hybrid GA-ANN approach for autonomous robots topological navigation
(Association for Computing Machinery - ACMDongguk UniversityGyeongju, 2014-03-24)
This paper proposes a hybrid approach using genetic algorithm
and arti cial neural networks for autonomous path
planning and motion control for mobile robots. A topological
navigation approach is adopted, using the ...
Neural networks training using the constructivism paradigms
(1995-12-01)
The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural ...
Steel bars identification in reinforced concrete structures by using ANN and magnetic fields
(2005-12-01)
This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures, using superficial magnetic fields and artificial neural networks, in order to identify the size and position of steel ...