Now showing items 1-10 of 206
Neural networks training using the constructivism paradigms
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 ...
Tracking Facial Expressions by Using Stereoscopy Video and Back Propagation Neural Network
(Kathmandu University Journal of Science, Engineering and Technology, 2013-01-16)
A fuzzy backpropagation algorithm
This paper presents an extension of the standard backpropagation algorithm (SBP). The proposed learning algorithm is based on the fuzzy integral of Sugeno and thus called fuzzy backpropagation (FBP) algorithm. Necessary ...
A fast electric load forecasting using adaptive neural networks
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
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 ...
Complement To The Back-propagation Algorithm: An Upper Bound For The Learning Rate
(IEEE, Piscataway, NJ, United States, 2000)
Notación matricial en el entrenamiento de redes neuronales
(Pereira : Universidad Tecnológica de Pereira, 2007)
Este documento contiene la formulación para efectuar el entrenamiento de una red neuronal con el algoritmo Backpropagation, en el cual se ha usado un método poco usual, el cual es la formulación del mismo utilizando matrices. ...