A Novel Combination of Negative and Positive Selection in Artificial Immune Systems
Artificial Immune System (AIS) is a multidisciplinary research area that combines the principles of immunology and computation. Negative Selection Algorithms (NSA) is one of the most popular models of AIS mainly designed for one-class learning problems such as anomaly detection. Positive Selection A...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
H. : ĐHQGHN
2015
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://repository.vnu.edu.vn/handle/VNU_123/962 |
| الوسوم: |
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| المؤسسة: | Vietnam National University, Hanoi |
| اللغة: | English |
| الملخص: | Artificial Immune System (AIS) is a multidisciplinary research area that combines the principles of immunology and computation. Negative Selection Algorithms (NSA) is one of the most popular models of AIS mainly designed for one-class learning problems such as anomaly detection. Positive Selection Algorithms (PSA) is the twin brother of NSA with quite similar performance for AIS. Both NSAs and PSAs comprise of two phases: generating a setD of detectors from a given set. |
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