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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 ...
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, ...
Multinodal Load Forecasting in Power Electric Systems using a Neural Network with Radial Basis Function
(Trans Tech Publications Ltd, 2011-01-01)
In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function ...
Complement To The Back-propagation Algorithm: An Upper Bound For The Learning Rate
(IEEE, Piscataway, NJ, United States, 2000)
A fast electric load forecasting using neural networks
(2000-12-01)
The objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology ...
JSEG-based image segmentation in computer vision for agricultural mobile robot navigation
(2009-12-01)
This project aims to apply image processing techniques in computer vision featuring an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as localization ...
Electric power systems transient stability analysis by neural networks
(1995-12-01)
This work aims to investigate the use of artificial neural networks in the analysis of the transient stability of Electric Power Systems (determination of critical clearing time for short-circuit faults type with electric ...
An alternative approach to solve convergence problems in the backpropagation algorithm
(IEEE, 2004-01-01)
The multilayer perceptron network has become one of the most used in the solution of a wide variety of problems. The training process is based on the supervised method where the inputs are presented to the neural network ...
ANN statistical image recognition method for computer vision in agricultural mobile robot navigation
(2010-11-29)
The main application area in this project, is to deploy image processing and segmentation techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory ...
Pattern recognition structured heuristics methods for image processing in mobile robot navigation
(2010-12-01)
In this project, the main focus is to apply image processing techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as ...