期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2009
卷号：9
期号：10
页码：105-115
出版社：International Journal of Computer Science and Network Security
摘要：Data Classification is a prime task in Data mining. Accurate and simple data classification task can help the clustering of large dataset appropriately. In this paper we have experimented and suggested a simple ANN based classification models called as Simple ANN (SANN) for different classification problems. The GA is used for optimally finding out the number of neurons in the single hidden layered model. Further, the model is trained with Back Propagation (BP) algorithm and GA (Genetic Algorithm) and classification accuracies are compared. The designed models are also compared with the Functional Link ANN (FLANN) for Data classification accuracies. It is revealed from the simulation that our suggested model is performing better compared to FLANN model and it can be a very good candidate for many real time domain applications as these are simple with good performances.
关键词：ANN; Genetic Algorithm; Data classification; FLANN
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