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Neural networks training using the constructivism paradigms
(1995-12-01)
The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural ...
Neural networks training using the constructivism paradigms
(1995-12-01)
The Backpropagation Algorithm (BA) is the standard method for training multilayer Artificial Neural Networks (ANN), although it converges very slowly and can stop in a local minimum. We present a new method for neural ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
NN-AirPol: a neural-networks-based method for air pollution evaluation and control
(2011-06-14)
A method for air pollution evaluation and control, based on one of the most popular neural networks – the backpropagation algorithm, is proposed. After the backpropagation training, the neural network, based on weather ...
Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2007-05-01)
This work presents a procedure for transient stability analysis and preventive control of electric power systems, which is formulated by a multilayer feedforward neural network. The neural network training is realized by ...
Aplicación de una red neuronal feed-forward backpropagation para el diagnóstico de fallas mecánicas en motores de encendido provocadoApplication of feed-forward backpropagation neural network for the diagnosis of mechanical failures in engines provoked ignition
(Universidad Politécnica Salesiana, 2018)
APLICACIÓN DE UNA RED NEURONAL FEED-FORWARD BACKPROPAGATION PARA EL DIAGNÓSTICO DE FALLAS MECÁNICAS EN MOTORES DE ENCENDIDO PROVOCADO
(Universidad Politécnica Salesiana, 2019)