Analysis on dendritic deep learning model for AMR task

Analysis on dendritic deep learning model for AMR task

Abstract This study introduces a novel hybrid deep learning model featuring a dendritic layer for enhancing the performance of automatic modulation recognition (AMR). By replacing the fully connected layer, the proposed model demonstrates superior classification accuracy in AMR tasks. Comparative ex...

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Bibliographic Details
Main Authors: Peng Yin, Sanli Zhu, Yang Yu, Ziqian Wang, Zhuangzhi Chen
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Cybersecurity
Subjects:
Spectrum sensing
Deep learning
Dendritic learning
Automatic modulation recognition
Communication security
Online Access:https://doi.org/10.1186/s42400-024-00306-9
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https://doi.org/10.1186/s42400-024-00306-9

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