TITLE

A hybrid Evolutionary Functional Link Artificial Neural Network for Data mining and Classification

AUTHOR(S)
MILI, Faissal; HAMDI, Manel
PUB. DATE
August 2012
SOURCE
International Journal of Advanced Computer Science & Application;Aug2012, Vol. 3 Issue 8, p89
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This paper presents a specific structure of neural network as the functional link artificial neural network (FLANN). This technique has been employed for classification tasks of data mining. In fact, there are a few studies that used this tool for solving classification problems. In this present research, we propose a hybrid FLANN (HFLANN) model, where the optimization process is performed using 3 known population based techniques such as genetic algorithms, particle swarm and differential evolution. This model will be empirically compared to FLANN based back-propagation algorithm and to others classifiers as decision tree, multilayer perceptron based backpropagation algorithm, radical basic function, support vector machine, and K-nearest Neighbor. Our results proved that the proposed model outperforms the other single model.
ACCESSION #
88304143

 

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