Application of a Hybrid Algorithm in the Modular Neural Nets Trainning with Multilayers Specialists in Electric Disturbance Classification

Author

Magalhães, R.M. ; Santos, C.K.S. ; Melo, J.D. ; de Medeiros, M.F. ; Neto, A. D Dória

Author_Institution

Intell. Syst. Lab., Fed. Univ. of Rio Grande do Norte, Natal

fYear

2008

fDate

25-29 Feb. 2008

Firstpage

121

Lastpage

125

Abstract

This work evaluates the effectiveness of a new hybrid algorithm in the training of modular neural nets with multilayers specialists. The algorithm is applied on the classification of electric disturbances previously characterized and processed, making possible the comparison between its performance and multilayers perceptrons nets. It presents the algorithm´s development,such as the data acquisition methodology and its preprocessing.

Keywords

learning (artificial intelligence); multilayer perceptrons; pattern classification; power system analysis computing; power system faults; data acquisition; data preprocessing; electric disturbance classification; hybrid algorithm; modular neural net training; multilayer perceptron; Backpropagation algorithms; Data acquisition; Discrete wavelet transforms; Jacobian matrices; Machine learning; Machine learning algorithms; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Engineering Systems, 2008. INES 2008. International Conference on

Conference_Location

Miami, FL

Print_ISBN

978-1-4244-2082-7

Electronic_ISBN

978-1-4244-2083-4

Type

conf

DOI

10.1109/INES.2008.4481280

Filename

4481280