Buscar
Mostrando ítems 1-10 de 29
Redes neuronales en la predicción de propiedades de láminas para tableros de madera contrachapada durante el proceso de secado en Arboriente S.A.
(Escuela Superior Politécnica de Chimborazo, 2021-09-10)
To avoid delays in production, caused by manual measurement of raw material properties, this research is presented, the objective of which is to predict the output humidity and the waviness of the sheets for plywood boards, ...
Artificial neural network model for the kinetics of canola oil extraction for different seed samples and pretreatments
(Wiley Blackwell Publishing, Inc, 2018-02)
In this work, a multi-layer feedforward artificial neural network (ANN) was used for modeling and predicting the oil extraction yields of three canola samples with three pretreatments (unpretreatment, hydrothermal, and ...
Modelo para la predicción de la radiación solar a partir de redes neuronales artificiales
(Universidad EIABiomédica, Mecatrónica y MecánicaEnvigado (Antioquia, Colombia). Universidad EIA, 2013Ingeniería Mecatrónica, 2013)
The estimation of the climatic change that occurs in a particular place has always been an important factor for doing outdoor activities. Different methods have been developed to predict future values of climatic variables ...
Development of an artificial neural network architecture using programmable logic
(Universidade do Vale do Rio dos Sinos, 2016-03-07)
Currently, modern Artificial Neural Networks (ANN), according to their complexity, require a workstation for processing all their input data. This type of processing architecture requires that the field device is located ...
Locomoción de un robot cuadrúpedo basada en redes neuronales artificiales
(Escuela Superior Politécnica de Chimborazo, 2015)
Correlations Induced By Depressing Synapses In Critically Self-organized Networks With Quenched Dynamics
(Amer Physical SocCollege Park, Maryland, 2017)
Development of an artificial neural network architecture using programmable logic
(Universidade do Vale do Rio dos Sinos, 2016-03-07)
Currently, modern Artificial Neural Networks (ANN), according to their complexity, require a workstation for processing all their input data. This type of processing architecture requires that the field device is located ...
Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process
(Pergamon-elsevier Science LtdOxfordInglaterra, 2009)