Artificial immune system

An artificial immune system was constructed based on phage display to make antibodies without using rodents and hybridoma technology.23,26,27 The gene III... [Pg.219]

DasGupui, D. Artificial Immune Systems aml their Applinilions. Springei-Verlag. Inc.. New York. NY. 1998. [Pg.824]

Intrusion detection systems (IDS) are used as a computer network security tool and permit to alert an administrator in case of attack. The main goal of IDS is to detect and recognize network attacks in real time. Nowadays there exist different approaches for intrusion detection. It is signature analysis, rule-based method, embedded sensors, neural networks, artificial immune systems [1]—[6] and so on. The most of these IDS can detect the known attacks and have poor ability to detect new attacks. [Pg.367]

Saha S, Raghava G (2004) BcePred prediction of continuous B-cell epitopes in antigenic sequences using physico-chemical properties. In Proceedings of the 3rd international conference on artificial immune systems (ICARUS), 13-16 Sep 2004, Catania, Italy. LNCS 3239 197-204... [Pg.137]

De Castro LN, Timmis, J (2002) Artificial immune systems a new computational intelligence approach, Springer-Verlag, Berlin... [Pg.187]

Moving from advancements in current approaches to sensing and detections, one vision for 2030 is the use of an artificial immune system as a detector. Immune... [Pg.55]

Artificial immune system — must understand the chemistry/biochem-istry of sentinels — diagnostics of environmental exposure systems... [Pg.61]

Most of the theory about the Artificial Immune System (AIS) were based on the seff-nonseff model which was introduced early. People think of that the organism could identify the self or nonseff automatically and make immune response again nonself . The theory has been widespread apph-... [Pg.269]

To address the problem, this danger theory for reference by the article, propose the immune danger theory algorithm to test rockbolts. The algorithm overcomes the limitations of the artificial immune system based on self-nonseff pattern. It only need process the danger signal to complete... [Pg.269]

Mo, Hongwei Zuo, Xingquan. 2009. Artificial immune system. Beijing Science press. [Pg.273]

A radically different and modem approach to process modeling, control and optimization is to be found in the form of artificial immune systems [10-12]. [Pg.58]

In the same way as the artificial neural network is not a model of the human brain so an artificial immune system is not a model of the human immune system. Once again we are dealing with biological inspiration, i.e. an attempt to build a system that mimics the features and uses rules of the immune system. [Pg.59]

In artificial immune system, antibody binds antigen (i.e. optimization is activated and control variable changed) when the current process state is the same (or similar) to the historical process pattern (written in a B-cell that has created an antibody—i.e. optimized control). Affinity between B-cell L and antigen A may be calculated as below ... [Pg.60]

Finally, the artificial immune system allows one to define the quality indicator ... [Pg.61]

The artificial immune system uses a linear, incremental process model of static impact of increment of control vector Ax on increment of optimized process outputs Ay. [Pg.61]

The artificial immune system represents a modern approach to process optimization and may be used as an extension of AI modeling in process control. [Pg.62]

De Castro LN, Timmis JI (2003) Artificial immune systems as a novel soft computing paradigm. Soft Comput 7(8) 526-544... [Pg.62]

De Castro LN, Von Zuben FJ (1999) Artificial immune systems Part i— basic theory and applications. Technical Report RT DCA 01/99, Department of Computer Engineering and Industrial Automation, School of Electrical and Computer Engineering, State University of Campinas, Campinas, SP, Brazil, December... [Pg.62]

Wierzchon S (2001) Artificial immune systems— theory and applications. Exit, Warsaw. In polish... [Pg.62]

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