On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems-Reference-Cited by-同舟云学术

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On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems

Published:2024-05-05 Issue: Volume: Page:530-536
ISSN:
Container-title:2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
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Author:

Soares Jonathan A.¹,Mayer Kayol S.¹,Arantes Dalton S.¹

Affiliation:

1. Universidade Estadual de Campinas – UNICAMP,School of Electrical and Computer Engineering,Department of Communications,Campinas,SP,Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624683/10624689/10624891.pdf?arnumber=10624891

Reference27 articles.

1. Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer

2. Online Regularization of Complex-Valued Neural Networks for Structure Optimization in Wireless-Communication Channel Prediction

3. CV-3DCNN: Complex-Valued Deep Learning for CSI Prediction in FDD Massive MIMO Systems

4. CVLNet: A Complex-Valued Lightweight Network for CSI Feedback

5. Complex MIMO RBF Neural Networks for Transmitter Beamforming over Nonlinear Channels

Cited by 1 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. Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

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