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Compressing arrays of classifiers using Volterra-Neural Network: application to face recognition
(Springer, 2013-07)
Model compression is required when large models are used, for example, for a classification task, but there are transmission, space, time or computing constraints that have to be fulfilled. Multilayer Perceptron (MLP) ...
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 ...
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 ...
Pattern recognition from a sensor array using neural networksReconocimiento de patrones en un arreglo sensórico usando redes neuronales
(Universidad Militar Nueva Granada, 2007)
A Digital Memristor Emulator for FPGA-Based Artificial Neural Networks
(IEEE, 2016)
FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural networks (ANNs). To this end, the compact hardware (HW) implementation of artificial synapses is an important step to obtain ...