End‐to‐end inverse modeling and optimization for filters based on artificial neural network-Reference-Cited by-同舟云学术

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End‐to‐end inverse modeling and optimization for filters based on artificial neural network

Published:2022-08-17 Issue:11 Volume:32 Page:
ISSN:1096-4290
Container-title:International Journal of RF and Microwave Computer-Aided Engineering
language:en
Short-container-title:Int J RF Mic Comp-Aid Eng

Author:

Huang Hao¹,Liang Xiuye²,Guan Fang¹³,Zi Jian²

Affiliation:

1. State Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai China

2. The State Key Laboratory of Surface Physics, Department of Physics Fudan University Shanghai China

3. Zhangjiang Fudan International Innovation Center Fudan University Shanghai China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mmce.23365

Reference18 articles.

1. Modeling and optimization of microwave filter by ADS-based KBNN

2. Neural network of calibrated coarse model and application to substrate integrated waveguide filter design

3. Homotopy Optimization of Microwave and Millimeter-Wave Filters Based on Neural Network Model

4. Parallel Multiphysics Optimization for Microwave Devices Exploiting Neural Network Surrogate

5. Parametric Modeling of Microwave Passive Components Using Sensitivity-Analysis-Based Adjoint Neural-Network Technique

Cited by 2 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. An Efficient Geometric Parameter Optimization Method for Microstrip Bandpass Filter Based on One‐Dimensional Convolutional Neural Network;International Journal of RF and Microwave Computer-Aided Engineering;2024-01

2. Machine-learning design of graphene nanoribbon waveguide side-coupled absorber;Modern Physics Letters B;2023-04-29

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