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 An Approach to Combine Artificial Immune Systems and Neural Networks. A Dynamic Artificial Immune System Based on the Self-Organizing Map
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An Approach to Combine Artificial Immune Systems and Neural Networks. A Dynamic Artificial Immune System Based on the Self-Organizing Map

издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 172        мягкая обложка       
Аннотация:On that basis, an artificial immune system that rests upon the self-organizing map is implemented and demonstrated by simulations. From this perspective, the question emerges whether the interrelations between the nervous, endocrine and immune system can yield new or more general computational systems that can be used for problem-solving as well. Computational Intelligence aims at creating problem-solving strategies which are inspired by biological systems. From this approach emerged artificial neural networks, genetic algorithms and recently artificial immune systems. Comparing artificial immune systems and genetic algorithms, close computational similarities can be found. Furthermore, research showed the biological nervous and endocrine systems to be so intertwined that science now speaks of one single system, the neuroendocrine system. In the present work, an approach to combine artificial neural networks and artificial immune systems is introduced together with a biological foundation of the computational processes shared by both paradigms.
Издательство: Книга по Требованию
Год:2008
Цена:
2783 руб
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Поиск: An Approach to Combine Artificial Immune Systems and Neural Networks. A Dynamic Artificial Immune System Based on the Self-Organizing Map
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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Evaluating the GPRS Radio Interface for Different Quality of Service...

I co ras o he models developed i , our approach addi io ally represe s he mobili y of users hrough arrival ra es of ew GSM a d GPRS users as well as ha dover ra es of GSM a d GPRS users from eighbori g cells. Fur hermore, we co sider users wi h differe QoS profiles modeled by a weigh ed fair queuei g scheme accordi g o . he remai der of he paper is orga ized as follows. Sec io 2 describes he basic GPRS e work archi ec ure, he radio i erface, a d differe QoS profiles, which will be co sidered i he simula or. I Sec io 3 we describe he sof ware archi ec ure of he GPRS simula or, de ails abou he mobili y of GSM a d GPRS users, he way we modeled quali y of service profiles, a d he workload model we used. Resul s of he simula io s udies are prese ed i Sec io 4. We provide curves for average carried raffic a d packe loss probabili ies for differe cha el alloca io schemes a d packe priori ies as well as curves for average hroughpu per GPRS user.3 he Simula io Model We co sider a clus er comprisi g of sever hexadiago al cells i a i egra ed GSM/GPRS e work, servi g circui -swi ched voice a d packe -swi ched da a calls. he performa ce s udies prese ed i Sec io 4 were co duc ed for he i ermos cell of he seve cell clus er.
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