تعیین روش درمانی بیماران مبتلا به سرطان پستان به کمک روش های هوش مصنوعی

•   آرشیو : نسخه بهار 1397
•   موضوع : هوش مصنوعی
• نویسنده/گان : ستایش صادقی، عباس رضایی، امین گلاب پور
•   کلید واژه : انتخاب ویژگی، الگوریتم بهینه سازی گرگ خاکستری، جنگل تصادفی، یادگیری ماشین
•   Title : Proposed an intrusion detection system method using feature selection based on gray wolf optimization algorithm and random forest classification
•   Abstract :
  Nowadays it is very hard to imagine a world without the internet. However, one of the challenges that is always present on the Internet is the security of these networks. One of the major security threats in the Internet is the network penetration. Penetration has negative consequences like stealing important information. Therefore, it is necessary to identify these intrusions in Internet networks based on such mechanisms. One of the tools used for intrusion detection is data mining and machine learning tools. Therefore, many researchers have studied in this field and we similarly studied and implemented here. Then a new method based on gray wolf algorithm was optimized. In the proposed method, using gray wolf optimization algorithm and random forest classification done the feature selection and its results are compared with similar methods. Then, by examining the results of this comparison, it is shown that after feature selection and identifying the most important features, the time of constructing the model is improved and the proposed algorithm of this paper with due to simplification, it performs better
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•  صفحات : 30-40
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