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Datasets for "Optimising Complexity and Learning for Photonic Reservoir Computing with Gain-Controlled Multimode Fibres"

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DataCite Commons2025-07-18 更新2026-05-03 收录
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https://repository.lboro.ac.uk/articles/dataset/Datasets_for_Optimising_Complexity_and_Learning_for_Photonic_Reservoir_Computing_with_Gain-Controlled_Multimode_Fibres_/29482847
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The data is associated with the main text and supplementary figures. The dataset is provided in .fig format and separated into folders. They can be opened by open-source software such as Octave.Giulia Marcucci, Luana Olivieri, and Juan Sebastian Totero Gongora, "Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres", Front. Nanotechnol. 7:1631564 (2025). DOI: 10.3389/fnano.2025.1631564

本数据集关联于论文正文与补充插图。数据集以.fig格式存储,并按文件夹分类,可通过Octave等开源软件打开查看。相关研究论文为Giulia Marcucci、Luana Olivieri与Juan Sebastian Totero Gongora撰写的《基于增益可控多模光纤优化光子储备池计算(photonic reservoir computing)的复杂度与学习性能》,发表于《纳米技术前沿(Front. Nanotechnol.)》2025年第7卷,文章编号1631564,DOI:10.3389/fnano.2025.1631564。
提供机构:
Loughborough University
创建时间:
2025-07-05
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