Low‐cost surrogate modeling of antennas using two‐level Gaussian process regression method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Low‐cost surrogate modeling of antennas using two‐level Gaussian process regression method

Published:2021-04-27 Issue:5 Volume:34 Page:
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numer Model

Author:

Zhang Zhen¹²^ORCID,Jiang Fan¹³,Jiao Yaxi¹,Cheng Qingsha S.¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China

2. School of Electronics and Information Engineering Harbin Institute of Technology Harbin China

3. Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnm.2886

Reference34 articles.

1. Multiparameter Modeling With ANN for Antenna Design

2. Unified frequency and time-domain antenna modeling and characterization

3. Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling

4. Computationally Efficient Multi-Fidelity Bayesian Support Vector Regression Modeling of Planar Antenna Input Characteristics

5. Aperture antenna shape prediction by feedforward neural networks

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reliable Computationally Efficient Behavioral Modeling of Microwave Passives Using Deep Learning Surrogates in Confined Domains;IEEE Transactions on Microwave Theory and Techniques;2023-03

2. Low-Cost and Highly Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates;IEEE Transactions on Antennas and Propagation;2023-01

3. Surrogate-based Design and Tuning Methods for RF/Microwave Devices;2022 IEEE/MTT-S International Microwave Symposium - IMS 2022;2022-06-19

4. Bandpass Filter Design Using Deep Neural Network and Differential Evolution Algorithm;Arabian Journal for Science and Engineering;2022-03-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3