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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 ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
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 ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Multidimensional projection with radial basis function and control points selection
(Keio Universiy, Faculty of Science and TechnologyACM SIGGRAPHEurographicsYokohama, 2014-03)
Multidimensional projection techniques provide an appealing approach
for multivariate data analysis, for their ability to translate
high-dimensional data into a low-dimensional representation that
preserves neighborhood ...
A Learning Function for Parameter Reduction in Spiking Neural Networks with Radial Basis Function
(Springer-verlag Berlin, 2008-01-01)
Spiking neural networks - networks that encode information in the timing of spikes - are arising as a new approach in the artificial neural networks paradigm, emergent from cognitive science. One of these new models is the ...
Comparison Between Multilayer Feedforward Neural Networks And A Radial Basis Function Network To Detect And Locate Leaks In Pipelines Transporting Gas
(Italian Association of Chemical Engineering - AIDIC, 2013)
Application Of The Radial Integration Method Into Dynamic Formulation Of Anisotropic Shallow Shells Using Boundary Element Method
(Trans Tech Publications Ltd, 2015)
Multiscale RBF Neural Network for Forecasting of Monthly Hake Catches off Southern Chile
(2013)
We present a forecasting strategy based on
stationary wavelet transform combined with radial basis function
(RBF) neural network to improve the accuracy of 3-month-ahead
hake catches forecasting of the fisheries industry ...