Now showing items 1-10 of 55
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 ...
Comparative study between powers of sigmoid functions, MLP-backpropagation and polynomials in function approximation problems
(Spie - Int Soc Optical Engineering, 1999-01-01)
Function approximation is a very important task in environments where the computation has to be based on extracting information from data samples in real world processes. So, the development of new mathematical model is a ...
A fast electric load forecasting using neural networks
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 ...
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, ...
Complement To The Back-propagation Algorithm: An Upper Bound For The Learning Rate
(IEEE, Piscataway, NJ, United States, 2000)
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 ...
Stock closing price forecasting using ensembles of constructive neural networks
Efficient automatic systems which continuously learn over long periods of time, and manage to evolve its knowledge, by discarding obsolete parts of it and acquiring new ones to reflect recent data, are difficult to be ...
Adaptative techniques for the human faces detection
This paper presents results from an efficient approach to an automatic detection and extraction of human faces from images with any color, texture or objects in background, that consist in find isosceles triangles formed ...
An alternative approach to solve convergence problems in the backpropagation algorithm
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 ...
JSEG-based image segmentation in computer vision for agricultural mobile robot navigation
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 ...