Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications
Author:
Affiliation:
1. Department of Electronics and Telecommunications, EMC Group, Politecnico di Torino, Turin, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Radiation
Link
http://xplorestaging.ieee.org/ielx7/22/10144346/10005863.pdf?arnumber=10005863
Reference46 articles.
1. Deep Neural Network Technique for High-Dimensional Microwave Modeling and Applications to Parameter Extraction of Microwave Filters
2. Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components
3. Surrogate-Assisted Multistate Tuning-Driven EM Optimization for Microwave Tunable Filter
4. Smart Modeling of Microwave Devices
5. Causal and Passive Parameterization of S-Parameters Using Neural Networks
Cited by 6 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. Wideband Kriging for Multiobjective Optimization of a High-Voltage EMI Filter;IEEE Transactions on Electromagnetic Compatibility;2024-08
2. Modeling of IC Buffers from Channel Responses Via Machine Learning Kernel Regression;2024 IEEE 28th Workshop on Signal and Power Integrity (SPI);2024-05-12
3. Stochastic Time-Domain Mapping for Comprehensive Uncertainty Assessment in Eye Diagrams;IEEE Transactions on Electromagnetic Compatibility;2023-12
4. Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Parametric Modeling of the Frequency-Response of a High-Speed Link;2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS);2023-08-19
5. Efficient Implementation of the Vector-Valued Kernel Ridge Regression for the Uncertainty Quantification of the Scattering Parameters of a 2-GHz Low-Noise Amplifier;2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO);2023-06-28
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