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Redes neurais e suas aplicações em calibração multivariadaNeural networks and its applications in multivariate calibration
(Sociedade Brasileira de Química, 2001)
Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties
(Elsevier, 2013-09)
This paper addresses the problem of adaptive neural sliding mode control for a class of multi-input multi-output nonlinear system. The control strategy is an inverse nonlinear controller combined with an adaptive neural ...
Diseño de redes neuronales de funciones de base radial con un enfoque multiobjetivo cooperativo competitivo para la predicción de temperaturas
(Universidad Nacional de Asunción, 2016)
Uma proposição para o cálculo de mapas de disparidade de imagens estéreo usando um interpolador neural baseado em funções de base radial
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2010-01-13)
This study aims to seek a more viable alternative for the calculation of differences in images of stereo vision, using a factor that reduces heel the amount of points that are considered on the captured image, and a network ...
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
(Abcm Brazilian Soc Mechanical Sciences & Engineering, 2010-12-01)
The use of artificial neural networks for prediction in hard turning has received considerable attention in literature. An often quoted drawback of ANNs is the lack of a systematic way for the design of high performance ...
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
(Abcm Brazilian Soc Mechanical Sciences & Engineering, 2010-12-01)
The use of artificial neural networks for prediction in hard turning has received considerable attention in literature. An often quoted drawback of ANNs is the lack of a systematic way for the design of high performance ...
A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened steel turning
(2010-01-01)
The use of artificial neural networks for prediction in hard turning has received considerable attention in literature. An often quoted drawback of ANNs is the lack of a systematic way for the design of high performance ...