نتایج جستجو برای: artificial immune systems
تعداد نتایج: 1668831 فیلتر نتایج به سال:
This paper describes an artificial immune system approach (AIS) to modelling time-dependent (dynamic, real time) transportation phenomenon characterized by uncertainty. The basic idea behind this research is to develop the Artificial Immune System, which generates a set of antibodies (decisions, control actions) that altogether can successfully cover a wide range of potential situations. The pr...
This paper explores Time Dependent Optimization (Tdo) as a measure of adaptiveness in artificial systems. We first discuss this choice and review classical Tdo models to propose a canonic benchmark. Then, we underline the central role of diversity in adaptive dynamics for biological and cybernetic systems and illustrate by a state of the art of evolutionary Tdo (Etdo). A Simple Artificial Immun...
The human immune system protects the human body against various pathogens like e.g. biological viruses and bacteria. Artificial immune systems reuse the architecture, organization, and workflows of the human immune system for various problems in computer science. In the network security, the artificial immune system is used to secure a network and its nodes against intrusions like viruses, worm...
Artificial immune systems (AIS) are a computational metaphor based on biological implementations of immune systems. Natural immune systems are capable of performing computation based on several properties that they possess. Immune systems are capable of adapting to new stimuli – they respond appropriately to novel stimuli, and they can remember previous encounters with stimuli. The processes wh...
This chapter aims to review the state of the art in algorithms of multiobjective optimization with artificial immune systems (MOAIS). As it will be focused in the chapter, Artificial Immune Systems (AIS) have some intrinsic characteristics which make them well suited as multiobjective optimization algorithms. Following this basic idea, different implementations have been proposed in the literat...
Artificial Immune technology, a resource limitedartificial immune classifier system,has performed well onelementary classification tasks. This paper presents oneform of mapping Artificial Immune Systems (AIS) intoLearning Classifier Systems for fault diagnosis. We proposea novel ideal to apply semantics in immune models. Similarto Learning Classifier Systems, a better un...
Over the last decade, a new idea challenging the classical self-non-self viewpoint has become popular amongst immunologists. It is called the Danger Theory. In this conceptual paper, we look at this theory from the perspective of Artificial Immune System practitioners. An overview of the Danger Theory is presented with particular emphasis on analogies in the Artificial Immune Systems world. A n...
In this study, we have employed the maximum envelope of the carotid artery Doppler sonograms derived from Fast Fourier Transformation-Welch Method and artificial immune systems in order to distinguish between atherosclerosis and healthy subjects. In this classification problem, the used artificial immune system has reached to 99.33% classification accuracy using 10-fold Cross Validation (CV) me...
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