Re-visiting the artificial immune recognition system: a survey and an improved version
作者： Ilyes Jenhani , Zied Elouedi
DOI: 10.1007/S10462-012-9360-0
关键词: Computer science 、 System a 、 Immune recognition 、 Classifier (UML) 、 Artificial immune system 、 Machine learning 、 Artificial intelligence
摘要: This paper surveys the major works related to an artificial immune system based classifier that was proposed in 2000s, namely, recognition (AIRS) algorithm. survey has revealed most on AIRS dedicated application of algorithm real-world problems rather than theoretical developments Based this finding, we propose improved version which dub AIRS3. AIRS3 takes into account important parameter ignored by original algorithm, number training antigens represented each memory cell at end learning (numRepAg). Experiments new data sets taken from UCI machine repository have shown taking numRepAg information enhances classification accuracy AIRS.
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sci-hub.se 参考文章(47)
Shahram Golzari, Shyamala Doraisamy, Md. Nasir Sulaiman, Nur Izura Udzir, Incorporation of Adapted Real World Tournament Selection into Artificial Immune Recognition System Springer Berlin Heidelberg. pp. 329- 334 ,(2009) , 10.1007/978-3-540-92814-0_51
Shyamala Doraisamy, Nur Izura Udzir, Shahram Golzari, Md. Nasir Sulaiman, EFFECT OF FUZZY RESOURCE ALLOCATION METHOD ON AIRS CLASSIFIER ACCURACY ,(2009)
Shyamala Doraisamy, Nur Izura Udzir, Shahram Golzari, Nasir Sulaiman, Notes on Using Nonlinear Resource Allocation Methods in AIRS Classifier. DMIN. pp. 91- 95 ,(2008)
Andrew Watkins, Jon Timmis, Artificial Immune Recognition System (AIRS): Revisions and Refinements Unversity of Kent. ,(2002)
Kemal Polat, Seral Şahan, Salih Güneş, Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k-nn (nearest neighbour) based weighting preprocessing Expert Systems With Applications. ,vol. 32, pp. 625- 631 ,(2007) , 10.1016/J.ESWA.2006.01.027
Andrew Watkins, Jon Timmis, Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier international conference on artificial immune systems. pp. 427- 438 ,(2004) , 10.1007/978-3-540-30220-9_34
D.E. Goodman, L. Boggess, A. Watkins, An investigation into the source of power for AIRS, an artificial immune classification system international joint conference on neural network. ,vol. 3, pp. 1678- 1683 ,(2003) , 10.1109/IJCNN.2003.1223659
Hinrich Schütze, Christopher D. Manning, Prabhakar Raghavan, Introduction to Information Retrieval ,(2005)
Artificial Immune Systems and Their Applications Springer-Verlag New York, Inc.. ,(1998) , 10.1007/978-3-642-59901-9
Zdzisław Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data ,(1991)