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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Veröffentlicht in:	Composites. Part B, Engineering Jg. 226; S. 109383
Hauptverfasser:	Guan, Zhen-Jie, Li, Rui, Jiang, Jian-Tang, Song, Bo, Gong, Yuan-Xun, Zhen, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2021
Schlagworte:	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
Online-Zugang:	Volltext
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