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Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.030815
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 8, 2012.
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 back-propagation algorithm, radical basic function, support vector machine, and K-nearest Neighbor. Our results proved that the proposed model outperforms the other single model. (Abstract)
Faissal MILI and Manel HAMDI, “A hybrid Evolutionary Functional Link Artificial Neural Network for Data mining and Classification” International Journal of Advanced Computer Science and Applications(IJACSA), 3(8), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030815