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On the approximation of the inverse dynamics of a robotic manipulator by a neural network trained with a stochastic learning algorithmOn the approximation of the inverse dynamics of a robotic manipulator by a neural network trained with a stochastic learning algorithm
(Corporación Universidad de la Costa, 2019)
Neural network based system identification of a pmsm under load fluctuation
(Universidad Nacional de Colombia Sede Medellín, 2009)
A neural network based approach is applied to model a PMSM. A multilayer recurrent network provides a near term fundamental current prediction using as an input the fundamental components of the voltage signals and the ...
A predictive control scheme based on neural networks
(EMERALD GROUP PUBLISHING LIMITED, 2006)
Purpose - To develop a new predictive control scheme based on neural networks for linear and non-linear dynamical systems.
Design/methodology/approach - The approach relies on three different multilayer neural networks ...
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
(PERGAMON-ELSEVIER SCIENCE LTD, 2006-08)
A system to prevent subscription fraud in fixed telecommunications with high impact on long-distance carriers is proposed. The system consists of a classification module and a prediction module. The classification module ...
Una aproximación práctica a las redes neuronales artificiales
(Universidad del Valle, 2009)
Neural networks for the web services classification
(Journal of Physics: Conference Series, 2020)
Reconfiguration and reinforcement allocation as applied to hourly medium-term load forecasting of distribution feeders
(Institution of Engineering and Technology, 2020)
In this study, a methodology to develop hourly demand scenarios in a medium-term horizon for primary distribution substations is presented and applied to a case study. The main contribution of this study is that it addresses ...
Detección de distracción en conductores mediante técnicas de visión de máquina.
(2015-05-12)
En este artículo se presenta un sistema para la detección de estados de distracción en conductores de vehículos en horas diurnas mediante técnicas de visión de máquina, el cual se basa en la segmentación de la imagen ...
Structural damage assessment using linear approximation with maximum entropy and transmissibility data
(Elsevier, 2015)
Supervised learning algorithms have been proposed as a suitable alternative to model
updating methods in structural damage assessment, being Artificial Neural Networks the
most frequently used. Notwithstanding, the slow ...