Pruning of Dendritic Neuron Model with Significance Constraints for Classification-Reference-Cited by-同舟云学术

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Pruning of Dendritic Neuron Model with Significance Constraints for Classification

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Luo Xudong¹,Ye Long¹,Liu Xiaolan²,Wen Xiaohao³,Zhang Qin¹

Affiliation:

1. Communication University of China,State Key Laboratory of Media Convergence and Communication,Beijing,China

2. College Electronics & Information Engineering, Hengshui University,Hebei,China

3. School of Computer Science and Engineering, Guangxi Normal University,Guilin,Guangxi,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10192047.pdf?arnumber=10192047

Reference40 articles.

1. A Generalized Growing and Pruning RBF (GGAP-RBF) Neural Network for Function Approximation

2. Learning sparse neural networks through l_0 regularization;louizos;ArXiv Preprint,2017

3. Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification

4. Optimal brain damage;cun;International Conference on Neural Information Processing Systems,0

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. Improving Classification Performance in Dendritic Neuron Models through Practical Initialization Strategies;Sensors;2024-03-07

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