Resum
There are two ways to improve the Identification Process of a dynamic system using an Artificial Neural Network: 1. Preprocessing the training values to extract characteristics of the data, and 2. Adapting the architecture of the network. In this paper we used an Adaptive Scheme of Multiresolution Filtering to decompose the series into other series easier to analyze. The scheme proposed uses Genetic Algorithm (GA) to find the optimal bank of filters without previous knowledge of the behavior of the system to be identified. A new variation of the algorithm using random individuals is proposed to avoid local minima. The objective function proposed is the estimation quadratic error of a Multilayer Perceptron using Levenberg-Maquardt Learning.
Idioma original | Anglès |
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Pàgines | 400-405 |
Nombre de pàgines | 6 |
Estat de la publicació | Publicada - 2002 |
Esdeveniment | 2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Durada: 12 de maig 2002 → 17 de maig 2002 |
Conferència
Conferència | 2002 International Joint Conference on Neural Networks (IJCNN '02) |
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País/Territori | United States |
Ciutat | Honolulu, HI |
Període | 12/05/02 → 17/05/02 |