Neural Network Surrogate Modeling of a Synthetic Bi-Physical Second Order Low-Pass Filter-Reference-Cited by-同舟云学术

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Neural Network Surrogate Modeling of a Synthetic Bi-Physical Second Order Low-Pass Filter

Published:2023-11-05 Issue: Volume: Page:64-66
ISSN:
Container-title:2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)
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Author:

Dávalos-Guzmán Jorge¹^ORCID,Chavez-Hurtado Jose L.²^ORCID,Brito-Brito Zabdiel³^ORCID

Affiliation:

1. Datacenter Platform and Artificial Intelligence, Intel Corporation,Folsom,CA,USA

2. ITESO University Tlaquepaque,Dep. Electronics, Systems, and Informatics,Jalisco,México

3. Centre Tecnológic de Telecomunicacions de Catalunya (CTTC/CERCA),Castelldefels,Barcelona,Spain

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379643/10379657/10379716.pdf?arnumber=10379716

Reference9 articles.

1. Design and optimization of CPW circuits using EM-ANN models for CPW components

2. EM-Based Optimization of Microwave Circuits Using Artificial Neural Networks: The State-of-the-Art

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