دانلود مقاله ISI انگلیسی شماره 76934
عنوان فارسی مقاله

تکامل تشخیص مرزها برای تشخیص ناهنجاری

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
76934 2011 9 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Evolving boundary detector for anomaly detection
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 38, Issue 3, March 2011, Pages 2412–2420

کلمات کلیدی
سیستمهای ایمنی مصنوعی؛ تشخیص ناهنجاری؛ انتخاب منفی ارزش واقعی؛ جستجوی تکاملی؛ سوراخ - فریب ناهنجاری
پیش نمایش مقاله
پیش نمایش مقاله تکامل تشخیص مرزها برای تشخیص ناهنجاری

چکیده انگلیسی

In real-valued negative selection algorithm, the variability of self sample would result in the holes on the boundary between the self and non-self region and the deceiving anomalies hidden in the self region. This paper analyzes the reason for the difficulty in handling these problems by traditional evolved detectors, and then proposes a method of evolving boundary detectors to solve them. This method uses an improved detector generation algorithm based on evolutionary search to generate boundary detectors. The boundary detectors constructed by an aggressive interpretation are allowed to cover a part of self region. The aggressiveness controlled by boundary threshold can convert some volume of self sample into the fitness of boundary detector. This makes them enable to eliminate the holes on the boundary and have an opportunity to detect the deceiving anomalies hidden in the self region. Experiments are carried out using both 2-dimensional dataset and real world dataset. The former was designed to demonstrate intuitively that boundary detectors can cover the holes on the boundary, while the latter was to show that boundary detectors can detect the deceiving anomalies.

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پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.