Multifeature-Assisted Neuro-transfer Function Surrogate-Based EM Optimization Exploiting Trust-Region Algorithms for Microwave Filter Design

This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-based electromagnetic (EM) optimization technique exploiting trust-region algorithms for microwave filter design. The proposed optimization technique addresses the situation where the response of the starting...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on microwave theory and techniques Jg. 68; H. 2; S. 531 - 542
Hauptverfasser:	Feng, Feng, Na, Weicong, Liu, Wenyuan, Yan, Shuxia, Zhu, Lin, Ma, Jianguo, Zhang, Qi-Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational modeling Design optimization Design specifications Electromagnetic (EM) optimization feature Feature extraction Filter design (mathematics) Linear programming microwave filter Microwave filters neuro-transfer function (neuro-TF) Optimization Optimization techniques Parameter identification Parameter modification Specifications Transfer functions trust region
ISSN:	0018-9480, 1557-9670
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!