A Distribution Network Reconfiguration Algorithm Based on Hopfield Neural Network

On the base of Hopfield neural network, the minimum of feeder looses is treated as the target function. Because the distribution network is radical, we put forward a method for deciding each node's in-degree by using Hopfield neural network. According to each node's in-degree, it can be ea...

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Vydané v:	2008 Fourth International Conference on Natural Computation Ročník 3; s. 9 - 13
Hlavní autori:	Weixin Gao, Nan Tang, Xiangyang Mu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2008
Predmet:	Artificial intelligence Computer networks Distributed computing Distribution Power Network Equations Hopfield Neural Network Hopfield neural networks Mathematical model Power supplies Power system reliability Reconfiguration Switches Voltage
ISBN:	9780769533049, 0769533043
ISSN:	2157-9555
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