Optimization of neural network parameters by Stochastic Fractal Search for dynamic state estimation under communication failure

Hossam Mosbah; M. E. El-Hawary

doi:10.1016/j.epsr.2017.03.002

Optimization of neural network parameters by Stochastic Fractal Search for dynamic state estimation under communication failure

Hossam Mosbah, M. E. El-Hawary

Arts and Humanities

科研成果: 期刊稿件 › 文章 › 同行评审

32 引用（Scopus）

源语言	英语
页（从-至）	288-301
页数	14
期刊	Electric Power Systems Research
卷	147
DOI	https://doi.org/10.1016/j.epsr.2017.03.002
出版状态	已出版 - 6月 1 2017

!!!ASJC Scopus Subject Areas

能源工程与电力技术
电气与电子工程

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10.1016/j.epsr.2017.03.002

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title = "Optimization of neural network parameters by Stochastic Fractal Search for dynamic state estimation under communication failure",

keywords = "Communication failure, Multilayer perceptron neural networks, Power system dynamic state estimation, Stochastic Fractal Search technique",

author = "Hossam Mosbah and El-Hawary, {M. E.}",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier B.V.",

year = "2017",

month = jun,

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doi = "10.1016/j.epsr.2017.03.002",

language = "English",

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AU - Mosbah, Hossam

AU - El-Hawary, M. E.

PY - 2017/6/1

Y1 - 2017/6/1

KW - Communication failure

KW - Multilayer perceptron neural networks

KW - Power system dynamic state estimation

KW - Stochastic Fractal Search technique

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JO - Electric Power Systems Research

JF - Electric Power Systems Research

ER -

Optimization of neural network parameters by Stochastic Fractal Search for dynamic state estimation under communication failure

!!!ASJC Scopus Subject Areas

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