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J-GLOBAL ID：201902274604396151   Reference number：19A0642477

Nonlinear Optimization Method Based on Stochastic Gradient Descent for Fast Convergence

高速収束のための確率勾配降下に基づく非線形最適化法【JST・京大機械翻訳】
Author (2)：
Watanabe Takahiro

About Watanabe Takahiro

, 
Iima Hitoshi

About Iima Hitoshi


Material：
IEEE Conference Proceedings  (IEEE Conf Proc)

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Volume： 2018  Issue： SMC  Page： 4198-4203  Publication year： 2018 
JST Material Number： W2441A  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)
Abstract/Point：
Abstract/Point
Japanese summary of the article(about several hundred characters).
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Nonlinear optimization problem...
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Thesaurus term：
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Keywords indexed to the article.
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*high speed

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, 
machine learning

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, 
objective function

About objective function


Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
収束速度

About 収束速度

, 
ステップサイズ

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, 
*非線形最適化

About 非線形最適化

, 
*確率勾配

About 確率勾配

, 【Automatic Indexing@JST】
JST classification (1)：
JST classification
Category name(code) classified by JST.
Graphic and image processing in general 
(JE04010I)

About Graphic and image processing in general

Terms in the title (4)：
Terms in the title
Keywords automatically extracted from the title.
収束

About 収束

, 
確率勾配

About 確率勾配

, 
降下

About 降下

, 
非線形最適化

About 非線形最適化


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