JP6966395B2 - 最適化システム及び最適化方法 - Google Patents

最適化システム及び最適化方法 Download PDF

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JP6966395B2
JP6966395B2 JP2018156620A JP2018156620A JP6966395B2 JP 6966395 B2 JP6966395 B2 JP 6966395B2 JP 2018156620 A JP2018156620 A JP 2018156620A JP 2018156620 A JP2018156620 A JP 2018156620A JP 6966395 B2 JP6966395 B2 JP 6966395B2
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value
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optimization
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JP2020030691A (ja
JP2020030691A5 (enExample
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誓士 三浦
純一 宮越
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Hitachi Ltd
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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
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • 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
    • G06N3/0499Feedforward networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/01Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

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  • Theoretical Computer Science (AREA)
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  • General Engineering & Computer Science (AREA)
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  • Computational Linguistics (AREA)
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  • Life Sciences & Earth Sciences (AREA)
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JP2018156620A 2018-08-23 2018-08-23 最適化システム及び最適化方法 Expired - Fee Related JP6966395B2 (ja)

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JP2018156620A JP6966395B2 (ja) 2018-08-23 2018-08-23 最適化システム及び最適化方法
US16/410,217 US11574165B2 (en) 2018-08-23 2019-05-13 Optimization system and optimization method

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JP2018156620A JP6966395B2 (ja) 2018-08-23 2018-08-23 最適化システム及び最適化方法

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JP2020030691A5 JP2020030691A5 (enExample) 2020-12-03
JP6966395B2 true JP6966395B2 (ja) 2021-11-17

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Families Citing this family (5)

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JP2021179778A (ja) * 2020-05-13 2021-11-18 富士通株式会社 情報処理装置、求解方法、及び求解プログラム
CN111714124B (zh) * 2020-06-18 2023-11-03 中国科学院深圳先进技术研究院 磁共振电影成像方法、装置、成像设备及存储介质
KR102549144B1 (ko) * 2021-01-18 2023-06-30 성균관대학교산학협력단 중단 없는 기계학습 클러스터 재구성 방법
CN113028613B (zh) * 2021-03-10 2022-03-25 浙江大学 基于快速admm的变风量系统分布式优化控制方法
JP7522076B2 (ja) * 2021-06-01 2024-07-24 日本電信電話株式会社 変数最適化システム

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JP2000301262A (ja) * 1999-04-20 2000-10-31 Hitachi Metals Ltd 金型寿命の予測方法及びそれを用いた金型材の最適物性値の予測方法
JP2008022166A (ja) * 2006-07-11 2008-01-31 Canon Inc プロトコル差分学習結果転送システム、プロトコル差分学習結果転送方法、コンピュータプログラム、及びコンピュータ読み取り可能な記録媒体
FR2905465B1 (fr) * 2006-09-06 2008-12-05 Michelin Soc Tech Procede de determination d'un coefficient d'adherence maximal d'un pneumatique
JP5734820B2 (ja) * 2011-12-05 2015-06-17 日本電信電話株式会社 ランキング関数学習装置、方法、及びプログラム
US10579922B2 (en) * 2014-04-08 2020-03-03 Microsoft Technology Licensing, Llc Deep learning using alternating direction method of multipliers
US9804617B2 (en) 2015-11-20 2017-10-31 Texas Instruments Incorporated Detecting an inductor coupled to a power control circuit
US10579926B2 (en) * 2015-12-21 2020-03-03 Disney Enterprises, Inc. Method and device for multi-agent path planning
US10210398B2 (en) * 2017-01-12 2019-02-19 Mitsubishi Electric Research Laboratories, Inc. Methods and systems for predicting flow of crowds from limited observations
CN107370802A (zh) * 2017-07-10 2017-11-21 中国人民解放军国防科学技术大学 一种基于交替方向乘子法的协同存储调度方法
US10534837B2 (en) * 2017-11-13 2020-01-14 Samsung Electronics Co., Ltd Apparatus and method of low complexity optimization solver for path smoothing with constraint variation
US20210027204A1 (en) * 2018-03-26 2021-01-28 Nec Corporation Kernel learning apparatus using transformed convex optimization problem
US11593634B2 (en) * 2018-06-19 2023-02-28 Adobe Inc. Asynchronously training machine learning models across client devices for adaptive intelligence
US10795330B2 (en) * 2018-07-30 2020-10-06 Mitsubishi Electric Research Laboratories, Inc. Symmetry alternating direction method of multipliers
US20200372363A1 (en) * 2019-05-23 2020-11-26 Kneron (Taiwan) Co., Ltd. Method of Training Artificial Neural Network Using Sparse Connectivity Learning
US12361260B2 (en) * 2020-10-28 2025-07-15 Siemens Aktiengesellschaft Determining at least one node

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JP2020030691A (ja) 2020-02-27
US11574165B2 (en) 2023-02-07

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