Spam detection using hybrid Artificial Neural Network and Genetic algorithm
作者： Anas Arram , Hisham Mousa , Anzida Zainal
DOI: 10.1109/ISDA.2013.6920760
关键词:
摘要: Spam detection is one of the major problems which considered by many researchers different developed strategies. Artificial Neural Network (ANN) others being proposed. However designing an ANN a difficult task as it requires setting structure and tuning some complex parameters. In this study, was hybridized with Genetic algorithm (GA) in order to optimize performance for spam detection. GA used determine parameters suggest optimum weights efficiently enhance learning. Experimental results show that hybrid has superior when compared conventional ANN.
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