Optical Diffraction Neural Network In-Situ Clustering for Full Self-Learning Ability
We proposed an in-situ unsupervised learning method for training optical diffraction neural networks. Once deployed, our network achieved an image recognition accuracy of 88.37 % without image labels or human intervention.
Authors
- Yongkang Ou (ORCID: https://orcid.org/0000-0003-0648-7553)
- Qiaomu Hu (ORCID: https://orcid.org/0000-0001-6375-6161)
- Minming Zhang (ORCID: https://orcid.org/0000-0002-3742-1445)
- Yunlong Li (ORCID: https://orcid.org/0000-0001-8819-7167)
- Shuang Zheng
- Tiange Wu
- Rui Zeng
Institutions
- Huazhong University of Science and Technology (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109083
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China