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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)
Identificación y control basado en redes neuronales robustas para un sistema no lineal multivariable de doble rotor
(Universidad Tecnológica de PereiraFacultad de IngenieríasPereiraIngeniería Electrónica, 2023)
Exploring the temporal dynamics of speech production with EEG and group ICA
(Scientific Reports, 2020)
Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms
(Corporación Universidad de la Costa, 2020)
Neural networks as tool to improve the intrusion detection system
(International Conference on Computer Information Systems and Industrial Management CISIM 2021: Computer Information Systems and Industrial Management, 2021)
User interface-based in machine learning as tool in the analysis of control loops performance and robustness
(Springer VerlagGermany, 2022)
Monte Carlo dropout for uncertainty estimation and motor imagery classification
(Corporación Universidad de la Costa, 2021)
Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling
(ISA - Instrumentation, Systems, and Automation SocietyUnited States, 2023)
Stochastic performance indices to infer deterministic indices through machine learning in the performance analysis of control loops
(Corporación Universidad de la Costa, 2021)