An optimized surrogate model using differential evolution algorithm for computing parameters of antennas-Reference-Cited by-同舟云学术

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An optimized surrogate model using differential evolution algorithm for computing parameters of antennas

Published:2021-09-06 Issue:2 Volume:35 Page:
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numerical Modelling

Author:

Ustun Deniz¹,Toktas Feyza²,Toktas Abdurrahim³^ORCID

Affiliation:

1. Department of Computer Engineering, Engineering Faculty Tarsus University Tarsus Turkey

2. Department of Computer Engineering, Engineering Faculty Mersin University Mersin Turkey

3. Department of Electrical and Electronics Engineering Karamanoglu Mehmetbey University Karaman Turkey

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnm.2951

Reference39 articles.

1. An efficient neural network model for the input resonant resistance of coaxial fed rectangular microstrip antennas with thin and thick substrates

2. A novel technique to calculate the bandwidth of rectangular microstrip antenna elements with thick substrates

3. A simple technique for the calculation of the bandwidth of rectangular microstrip antenna elements with various substrate thicknesses

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