Neural Approach in Multi-Agent Routing for Static Telecommunication Networks
Data(s) |
04/01/2010
04/01/2010
2003
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Resumo |
The problem of multi-agent routing in static telecommunication networks with fixed configuration is considered. The problem is formulated in two ways: for centralized routing schema with the coordinator-agent (global routing) and for distributed routing schema with independent agents (local routing). For both schemas appropriate Hopfield neural networks (HNN) are constructed. |
Identificador |
1313-0463 |
Idioma(s) |
en |
Publicador |
Institute of Information Theories and Applications FOI ITHEA |
Palavras-Chave | #Centralized and Distributed Multi-Agent Routing Schemas #Hopfield Neural Network #Data Streams Distribution |
Tipo |
Article |