JP7386462B2 - 演算装置および学習済みモデル - Google Patents

演算装置および学習済みモデル Download PDF

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JP7386462B2
JP7386462B2 JP2021555926A JP2021555926A JP7386462B2 JP 7386462 B2 JP7386462 B2 JP 7386462B2 JP 2021555926 A JP2021555926 A JP 2021555926A JP 2021555926 A JP2021555926 A JP 2021555926A JP 7386462 B2 JP7386462 B2 JP 7386462B2
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佑樹 前
敬文 金森
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Denso Corp
Tokyo Institute of Technology NUC
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Tokyo Institute of Technology NUC
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]

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JP2021555926A 2019-11-11 2020-09-17 演算装置および学習済みモデル Active JP7386462B2 (ja)

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JP2019203988 2019-11-11
JP2019203988 2019-11-11
PCT/JP2020/035254 WO2021095361A1 (ja) 2019-11-11 2020-09-17 演算装置および学習済みモデル

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JP7386462B2 true JP7386462B2 (ja) 2023-11-27

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CN114648652B (zh) * 2022-03-14 2025-04-11 北京计算机技术及应用研究所 一种利用卷积神经网络和正交变换计算图像哈希值的方法
JP7457752B2 (ja) 2022-06-15 2024-03-28 株式会社安川電機 データ分析システム、データ分析方法、及びプログラム

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CN110062871B (zh) * 2016-12-09 2024-01-19 通腾全球信息公司 用于基于视频的定位及映射的方法及系统

Non-Patent Citations (1)

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WEN, Honglin, et al.,"Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals",Proceedings of the 2019 IEEE 17th International Conference on Industrial Informatics (INDIN),2019年07月25日,Pages 1091-1096,ISBN: 978-1-7281-2927-3, <DOI: 10.1109/INDIN41052.2019.8972125>.

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