Data mining and design of electromagnetic properties of Co/FeSi filled coatings based on genetic algorithms optimized artificial neural networks (GA-ANN)

It is difficult to establish analytical relationships between coating parameters (type and filling ratios of absorbent) and electromagnetic (EM) properties based on traditional trial-and-error methods. Data mining is expected to predict the EM properties of coatings filled with arbitrary set type/co...

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Vydáno v:	Composites. Part B, Engineering Ročník 226; s. 109383
Hlavní autoři:	Guan, Zhen-Jie, Li, Rui, Jiang, Jian-Tang, Song, Bo, Gong, Yuan-Xun, Zhen, Liang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2021
Témata:	Absorbing materials Artificial neural networks (ANN) Data mining Genetic algorithms (GA) Absorbing materials Genetic algorithms (GA) Data mining Artificial neural networks (ANN)
ISSN:	1359-8368, 1879-1069
On-line přístup:	Získat plný text
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