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16

NCA
1998
IEEE

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A Neural Network Model of a Communication Network with Information Servers

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A Neural Network Model of a Communication Network with Information Servers

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This paper models information ﬂow in a communication network. The network consists of nodes that communicate with each other, and information servers that have a predominantly one-way communication to their customers. A neural network is used as a model for the communication network. The existence of multiple equilibria in the communication network is established. The network operator observes only one equilibrium, but if he knows the other equilibria, he can inﬂuence the free parameters, for example by providing extra bandwidth, so that the network settles in another equilibrium that is more proﬁtable for the operator. The inﬂuence of several network parameters on the dynamics is studied both by simulation and by theoretical methods.

Philippe De Wilde

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Communication Network | Computer Networks | NCA 1998 | Neural Network | One-way Communication |

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Added	22 Dec 2010
Updated	22 Dec 2010
Type	Journal
Year	1998
Where	NCA
Authors	Philippe De Wilde

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