Optimized dimension-reduction algorithm on input layer for diffractive neural networks Article Swipe
Ruisi Li
,
Qian Ma
,
Ze Gu
,
Yuming Ning
,
Xinxin Gao
,
Tie Jun Cui
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1063/5.0279686
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1063/5.0279686
Diffractive neural network (DNN) has provided a novel solution to address complex artificial intelligence tasks due to its ultrahigh processing speed and parallel computing capability. However, traditional DNNs lack fine design of input layers, which limits their performance in miniaturized applications. Here, we propose an optimized dimension-reduction algorithm based on an improved Fisher score to directly filter the diffractive information injected into the network, enabling DNNs to obtain inputs with stronger resolving capabilities. Numerical results demonstrate that our approach achieves accuracy improvements of 5% and 7.3% on the MNIST and Fashion-MNIST classification datasets, respectively, compared to the uniform grid sampling method that is commonly used in the existing dimension-reduction DNNs. In addition, when addressing the issue of complex input image distortion, our method holds the accuracy advantage of 4.8% in the pincushion distorted MNIST dataset and expands it to 6.7% in the tangential distortion scenario. Our optimized dimension-reduction algorithm has effectively utilized the information in diffractive fields, providing an efficient solution to the miniaturization of DNNs and promoting their application prospects in wearable devices, industrial inspection, and autonomous driving systems.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0279686
- OA Status
- gold
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412478294
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- OpenAlex ID
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https://openalex.org/W4412478294Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1063/5.0279686Digital Object Identifier
- Title
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Optimized dimension-reduction algorithm on input layer for diffractive neural networksWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-01Full publication date if available
- Authors
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Ruisi Li, Qian Ma, Ze Gu, Yuming Ning, Xinxin Gao, Tie Jun CuiList of authors in order
- Landing page
-
https://doi.org/10.1063/5.0279686Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://doi.org/10.1063/5.0279686Direct OA link when available
- Concepts
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Reduction (mathematics), Dimension (graph theory), Dimensionality reduction, Algorithm, Artificial neural network, Layer (electronics), Computer science, Mathematics, Artificial intelligence, Materials science, Combinatorics, Nanotechnology, GeometryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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42Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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