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Titlebook: Artificial Immune Systems; Third International Giuseppe Nicosia,Vincenzo Cutello,Jon Timmis Conference proceedings 2004 Springer-Verlag Be

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發(fā)表于 2025-3-21 19:52:01 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Immune Systems
期刊簡稱Third International
影響因子2023Giuseppe Nicosia,Vincenzo Cutello,Jon Timmis
視頻videohttp://file.papertrans.cn/163/162055/162055.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Immune Systems; Third International  Giuseppe Nicosia,Vincenzo Cutello,Jon Timmis Conference proceedings 2004 Springer-Verlag Be
影響因子Arti?cial Immune Systems have come of age. They are no longer an obscure computersciencetechnique,workedonbyacoupleoffarsightedresearchgroups. Today, researchers across the globe are working on new computer algorithms inspired by the workings of the immune system. This vigorous ?eld of research investigates how immunobiology can assist our technology, and along the way is beginning to help biologists understand their unique problems. AIS is now old enough to understand its roots, its context in the research community, and its exciting future. It has grown too big to be con?ned to s- cial sessions in evolutionary computation conferences. AIS researchers are now forming their own community and identity. The International Conference on Arti?cial Immune Systems is proud to be the premiere conference in the area. As its organizers, we were honored to have such a variety of innovative and original scienti?c papers presented this year. ICARIS 2004 was the third international conference dedicated entirely to the ?eld of Arti?cial Immune Systems (AIS). It was held in Catania, on the beautiful island of Sicily, Italy, during September 13–16, 2004. While hosting the conference, the city of Ca
Pindex Conference proceedings 2004
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A Hierarchical Immune Network Applied to Gene Expression Datah is composed of an artificial immune system, named aiNet, and a well known graph theoretic tool, the minimal spanning tree (MST). This algorithm has already proved to be efficient for clustering gene expression data, but its performance may decrease in some specific cases. However, through the use
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Optimal Circuit Design Using Immune Algorithmering problems. Artificial neural networks, evolutionary computation, ant colony system and artificial immune system are some of these approaches. In the literature, there are several models proposed for neural network and evolutionary computation to many different problems from different areas. How
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Reactive Immune Network Based Mobile Robot Navigationonments. Rather than building a detailed mathematical model of immune systems, we try to explore the principle in immune network focusing on its self-organization, adaptive learning capability and immune memory. Modified virtual target method is integrated to solve local minima problem. Several trap
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發(fā)表于 2025-3-23 04:24:16 | 只看該作者
A Fractal Immune Networky development in computers can be combined with a model of immune systems. Full details of a prototype system are provided, and preliminary experiments presented. Results show that evolution is able to adjust the mapping between input data and antigens and cause useful changes to the subnetworks for
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發(fā)表于 2025-3-23 07:43:17 | 只看該作者
Nootropia: A User Profiling Model Based on a Self-Organising Term Networkents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user’s multiple interests and can adapt to both short-term variations and sub
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