神经处理快报(Neural Processing Letters)是一本国际期刊,发表了人工神经网络各方面的研究成果和创新思想。涵盖范围包括理论发展,生物模型,新的形式模式,学习,应用,软件和硬件的发展,和前瞻性研究。该杂志促进了神经网络研究人员和用户之间信息的快速交流。自1980年代初以来,对人工神经网络领域的兴趣重新出现,与此同时,各专门或多学科小组也进行了大量的研究活动。 官网地址:http://dblp.uni-trier.de/db/journals/npl/

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Data metrology -- the assessment of the quality of data -- particularly in scientific and industrial settings, has emerged as an important requirement for the UK National Physical Laboratory (NPL) and other national metrology institutes. Data provenance and data curation are key components for emerging understanding of data metrology. However, to date provenance research has had limited visibility to or uptake in metrology. In this work, we summarize a scoping study carried out with NPL staff and industrial participants to understand their current and future needs for provenance, curation and data quality. We then survey provenance technology and standards that are relevant to metrology. We analyse the gaps between requirements and the current state of the art.

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