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Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks
(2005-12-01)
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 ...
Realizations of Space Mapping based neuromodels of microwave components
(AP2000 Millennium Conf. on Antennas & Propagation, 2000-04)
Realizations of Space Mapping based neuromodels of microwave components
(AP2000 Millennium Conf. on Antennas & Propagation, 2000-04)
A New Methodology for Neural Network Training Ensures Error Reduction in Time Series Forecasting
(Science publications, 2017-06-30)
Artificial Neural Networks (ANN) consists of some components,
such as architecture and learning algorithm. These components have a
significant effect on the performance of the ANN, but finding good
parameters is a ...
Using an artificial neural network (ANN) for prediction of thermal degradation from kinetics parameters of vegetable fibers
(2021-03-01)
Abstract: Vegetal fibers are prominent reinforcements for polymer composite materials, considering their properties and application possibilities. In particular, thermal degradation behavior is crucial for determining an ...
Temporal generalization of an artificial neural network for land use/land cover classification
(Spie-int Soc Optical Engineering, 2018-01-01)
This work evaluated the performance of an Artificial Neural Network (ANN) in the temporal generalization of the Land Use and Land Cover (LULC) classes in the surroundings of the Salto Grande reservoir, located in a highly ...
Sale forecast for basic commodities based on artificial neural networks prediction
(Universidad de la Costa, 2019)
Hybrid Neural Networks Applied to Brazilian Stock Market
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)