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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 ...
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 ...
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 ...
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 ...
Pattern recognition with applications to pre-diagnosis of pathologies in the vocal tract
(2015-01-01)
For the detection of laryngeal pathologies, in general medical examinations, for example laryngoscopy and stroboscopy, are adopted. Besides being considered invasive and uncomfortable procedures, they are made only by ...
ELLIPSE PERIMETER ESTIMATION USING NON- PARAMETRIC REGRESSION OF RBF NEURAL NETWORK BASED ON ELLIPTIC INTEGRAL OF THE SECOND TYPEELLIPSE PERIMETER ESTIMATION USING NON- PARAMETRIC REGRESSION OF RBF NEURAL NETWORK BASED ON ELLIPTIC INTEGRAL OF THE SECOND TYPE
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi's orthogonal arrays
(Pergamon-Elsevier B.V. Ltd, 2012-07-01)
This work presents a study on the applicability of radial base function (RBF) neural networks for prediction of Roughness Average (R-a) in the turning process of SAE 52100 hardened steel, with the use of Taguchi's orthogonal ...
Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi's orthogonal arrays
(Pergamon-Elsevier B.V. Ltd, 2012-07-01)
This work presents a study on the applicability of radial base function (RBF) neural networks for prediction of Roughness Average (R-a) in the turning process of SAE 52100 hardened steel, with the use of Taguchi's orthogonal ...