| 遗传神经网络在邮件过滤器中的应用 |
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| 引用本文： | 王波,黄迪明. 遗传神经网络在邮件过滤器中的应用[J]. 电子科技大学学报(社会科学版), 2005, 0(4) |
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| 作者姓名： | 王波 黄迪明 |
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| 作者单位： | 中国科学院成都计算机应用研究所 成都610041(王波)，电子科技大学计算机科学与工程学院 成都610054(黄迪明) |
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| 基金项目： | 四川省科技厅重点科技攻关资助项(03GG-006-021) |
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| 摘 要： | 针对目前反垃圾邮件技术的缺点,提出一种基于遗传优化神经网络的垃圾邮件过滤器模型,利用遗传算法全局搜索能力优化神经网络连接权值,克服神经网络局部极小值点问题,提高神经网络的学习速度和识别能力。通过对遗传算法和人工神经网络算法的实现,证明它们在垃圾邮件过滤器中有很好的应用效果。
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| 关 键 词： | 垃圾邮件 遗传算法 人工神经网络算法 局部极小点 |
ANNA Optimized by GA and Its Application in E-mail Filter |
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| WANG Bo,HUANG Di-ming. ANNA Optimized by GA and Its Application in E-mail Filter[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2005, 0(4) |
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| Authors: | WANG Bo HUANG Di-ming |
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| Affiliation: | WANG Bo1,HUANG Di-ming2 |
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| Abstract: | This paper presents a model of spam mail filter based on artificial neural network which is optimized by genetic algorithms. By using genetic algorithms, which is good at wide searching ability in solution space on optimizing connection weight matrix of artificial neural network , artificial neural network can get over the inherent limitation of local minimal and improve its learning speed and recognition ability. The application of the model in spam filter has been successfully proved by its implementing. |
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| Keywords: | spam genetic algorithm artificial neural network algorithm local minimal |
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