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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)
Forecast of the demand for hourly electric energy by artificial neural networks
(Corporación Universidad de la Costa, 2021)
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)
A time-series forecasting performance comparison for neural networks with state space and ARIMA models
(IEOM Society InternationalUnited States, 2020)
Monte Carlo dropout for uncertainty estimation and motor imagery classification
(Corporación Universidad de la Costa, 2021)
Neural networks for tea leaf classification
(Journal of Physics: Conference Series, 2020)
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)
Application of wavelet characteristics and gmdh neural networks for precise estimation of oil product types and volume fractions
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
Stochastic performance indices to infer deterministic indices through machine learning in the performance analysis of control loops
(Corporación Universidad de la Costa, 2021)