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Meta-stable Memory in an Artificial Immune Network
[chapter]
2003
Lecture Notes in Computer Science
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This paper describes an artificial immune system algorithm which implements a fairly close analogue of the memory mechanism proposed by Jerne(1) (usually known as the Immune Network Theory). ...
Immune Network Theory The immune network theory proposes that the B-cells in the body interact with each other to maintain the immune memory. ...
in the artificial immune networks generated. ...
doi:10.1007/978-3-540-45192-1_17
fatcat:f4wxf73wtfdxbn2ylug44xno44
A comparative analysis of artificial immune network models
2005
Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05
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This paper presents a review of different artificial immune network models, which have been published during the last years. ...
A general model of artificial immune network is presented, which provides a common notation that allows the comparison of different models. ...
is met 2.1: antigen presentation: Meta-Stable Memory Immune Network: Following the AINE line, Neal [20] proposed a modified version of SSAIS in 2003 for data analysis, clustering and artificial immune ...
doi:10.1145/1068009.1068066
dblp:conf/gecco/GaleanoVG05
fatcat:t5nzifvbarfihhafzdcfx3urna
Exploiting Immunological Properties for Ubiquitous Computing Systems
[chapter]
2004
Lecture Notes in Computer Science
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To that end, we present an immune inspired system, which draws heavily on the immune network metaphor to create a metastable context-aware memory system that could be delivered in small hand-held devices ...
The immune system exhibits properties such as learning, distributivity continual adaptation, context dependent response and memory during the lifetime of a host. ...
Artificial Immune Networks Work by Neal [19] proposed a meta-stable immune network algorithm capable of dynamically identifying new clusters in a continual stream of data. ...
doi:10.1007/978-3-540-30220-9_23
fatcat:6uwscmqi2naq5bs6brtnl6ltmu
Robust Feature Selection with LSTM Recurrent Neural Networks for Artificial Immune Recognition System
2019
IEEE Access
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Therefore, an ensemble gene selection framework is used in order to provide stable and accurate results of feature selection algorithms. ...
Long short-term memory (LSTM) recurrent neural networks are trained with the AIRS in order to obtain the long-lived unit cells for use in the feature selection process. ...
residues generated during the binding of an antigen and an antibody in artificial immune systems. ...
doi:10.1109/access.2019.2900118
fatcat:5soqd7mfzrgxpgmvgdcbkcdtei
Artificial Immune Networks: Models and Applications
2008
International Journal of Computational Intelligence Systems
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Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering fields. ...
Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization. ...
The algorithm introduces the culmination of a series of attempts to obtain a self-organizing meta-stable artificial immune network .Reference [29] proposes that the aiNet, an AIS algorithm exploiting ...
doi:10.1080/18756891.2008.9727614
fatcat:j4upyol4t5empire7cbcuxfblq
Artificial Immune Networks: Models and Applications
2008
International Journal of Computational Intelligence Systems
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Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering fields. ...
Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization. ...
The algorithm introduces the culmination of a series of attempts to obtain a self-organizing meta-stable artificial immune network .Reference [29] proposes that the aiNet, an AIS algorithm exploiting ...
doi:10.2991/ijcis.2008.1.2.7
fatcat:udmtekn75vdgpkcya5depdul4e
Artificial Immune Networks: Models and Applications
2008
International Journal of Computational Intelligence Systems
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Several representative artificial immune networks models are also discussed. Moreover, we demonstrate the applications of artificial immune networks in various engineering fields. ...
Artificial Immune Systems (AIS), which is inspired by the nature immune system, has been applied for solving complex computational problems in classification, pattern recognition, and optimization. ...
The algorithm introduces the culmination of a series of attempts to obtain a self-organizing meta-stable artificial immune network .Reference [29] proposes that the aiNet, an AIS algorithm exploiting ...
doi:10.2991/jnmp.2008.1.2.7
fatcat:dt77iivzezcxnkugtipdt356rm
An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System
2017
International Journal of Advanced Computer Science and Applications
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This paper employs the artificial immune system (AIS) to enhance efficiency of OLSR routing protocol. ...
Characteristics of the mobile ad-hoc networks such as nodes high mobility and limited energy are regarded as the routing challenges in these networks. ...
In artificial immune systems, creation of a stable memory structure to tolerate antigens' further attacks is considered as the main idea [23 and 24] . ...
doi:10.14569/ijacsa.2017.080473
fatcat:7i5bxr3stbcnxp6sqbzf4enkfu
An Overview of Artificial Immune Systems
[chapter]
2004
Natural Computing Series
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An extensive survey of applications is presented, ranging from network security to optimisation and machine learning. ...
The immune system is highly distributed, highly adaptive, self-organising in nature, maintains a memory of past encounters and has the ability to continually learn about new encounters. ...
Indeed, in their paper they present a way of applying these general principles to the areas of adaptive control and to the creation of other immune inspired algorithms. ...
doi:10.1007/978-3-662-06369-9_4
fatcat:fbr2b7gy6jfhxpthyqv7tb55ru
Artificial immune algorithm applied to distribution system reconfiguration with variable demand
2016
International Journal of Electrical Power & Energy Systems
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This algorithm is an optimization technique inspired by immune network theory (aiNet). The reconfiguration problem with variable demand is a complex problem of a combinatorial nature. ...
This paper presents a new methodology to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demand, using the artificial immune algorithm Copt-aiNet (Artificial Immune ...
As a result, intelligent optimization techniques, such as heuristic and meta-heuristic algorithms, artificial neural networks, and artificial immune systems, among others, are increasingly being applied ...
doi:10.1016/j.ijepes.2016.04.038
fatcat:apdrjbormnadjinc5p4bncy7ji
Advances in artificial immune systems
2006
IEEE Computational Intelligence Magazine
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In this example, the Artificial Immune Systems is considered stable after iterating for ten iterations without changing in size. ...
Immune Network Theory The immune Network theory had been proposed in the mid-seventies (Jerne 1974) . ...
• Artificial Immune Systems Forum Webpage: http://www.artificialimmune-systems.org/artist.htm • Artificial Immune Systems Bibliography: http://issrl.cs.memphis.edu/ Artificial Immune Systems/Artificial ...
doi:10.1109/ci-m.2006.248056
fatcat:g5czgsmucregpjqke3oszr3v4y
Advances in artificial immune systems
2006
IEEE Computational Intelligence Magazine
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In this example, the Artificial Immune Systems is considered stable after iterating for ten iterations without changing in size. ...
Immune Network Theory The immune Network theory had been proposed in the mid-seventies (Jerne 1974) . ...
• Artificial Immune Systems Forum Webpage: http://www.artificialimmune-systems.org/artist.htm • Artificial Immune Systems Bibliography: http://issrl.cs.memphis.edu/ Artificial Immune Systems/Artificial ...
doi:10.1109/mci.2006.329705
fatcat:ut3cdxzvuzcizfsy2ei6pecdqe
Artificial Immune Systems
[chapter]
2013
Encyclopedia of Sciences and Religions
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For example, the artificial immune system is considered stable after iterating for ten iterations without changing in size. ...
Immune Network Theory The immune network theory was proposed by Jerne (1973) . ...
doi:10.1007/978-1-4020-8265-8_1208
fatcat:ceyqhosi2bdljadae6oykkav2y
Artificial Immune Systems
[chapter]
2010
International Series in Operations Research and Management Science
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For example, the artificial immune system is considered stable after iterating for ten iterations without changing in size. ...
Immune Network Theory The immune network theory was proposed by Jerne (1973) . ...
doi:10.1007/978-1-4419-1665-5_14
fatcat:jkuvhn3eznh6neyl7naz4fp464
Artificial Immune Systems
[chapter]
2010
Decision Engineering
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For example, the artificial immune system is considered stable after iterating for ten iterations without changing in size. ...
Immune Network Theory The immune network theory was proposed by Jerne (1973) . ...
doi:10.1007/978-1-84996-129-5_9
fatcat:o52jzt3svfdyrnhezu65tiwdau
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