Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network论文源代码
Pengjia
这段代码使用 Python 3 编写，旨在帮助检测快速移动的目标。由于它融合了关于观测模式和所用仪器特性的先验知识，因此可以直接用于检测，而无需额外的训练。这种先验信息的编码使得系统能够立即有效地识别和跟踪目标。
文件
sourcecode.7z
48.85 kB
论文信息
论文标题:
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network
发表期刊:
The Astronomical Journal
标识符
CSTR:
11379.19.101585
DOI:
10.12149/101585
VO Identifier:
ivo://China-VO/paperdata/101585
发布时间:
2025-04-11
使用统计
总下载量
118
引用
Pengjia et al. 2025. The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'. 版本 1.0. https://doi.org/10.12149/101585
@misc{10.12149/101585,
doi = {10.12149/101585},
url = {https://doi.org/10.12149/101585},
author = {Pengjia},
title = {The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101585},
url = {https://doi.org/10.12149/101585},
author = {Pengjia},
title = {The source code for the paper 'Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network'},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
版本