Improved BP Neural Network Antenna Modeling Based on Seagull Algorithm-Reference-Cited by-同舟云学术

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Improved BP Neural Network Antenna Modeling Based on Seagull Algorithm

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Communication Software and Networks (ICCSN)
language:
Short-container-title:

Author:

Jingchang Nan¹,Ju Huang²,Mingming Gao³,Huimei Zhang⁴,Heyuan Sun²

Affiliation:

1. Liaoning University of Engineering and Technology, School of Electronics and Information Engineering,Henan,China

2. Liaoning University of Engineering and Technology, School of Electronics and Information Engineerin,Liaoning,China

3. Liaoning University of Engineering and Technology, School of Electronics and Information Engineerin,Inner Mongolia,China

4. Liaoning University of Engineering and Technology, School of Electronics and Information Engineerin,Anhui,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296975/10297315/10297325.pdf?arnumber=10297325

Reference14 articles.

1. Fireworks algorithm improves BP neural network prediction model and its application[J];ma;Control Engineering,2020

2. Particle swarm optimization algorithm based on adaptive multiple swarms[J];zeng;Computer Engineering and Applications,2018

3. Grey neural network optimization algorithm based on genetic algorithm[J];li;Control Engineering,2013

4. Fast multi-target antenna design based on improved backpropagation neural network surrogate model[J];dong;Journal of Electronics & Information Technology,2018

5. Modeling Method of 1D Convolutional Neural Network ultra-wideband Antenna [J];nan;Journal of Electronic Measurement and Instrument,0

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