Papers - ADACHI Yoshitaka
-
Influence of algorithm parameters of Bayesian optimization, genetic algorithm, and particle swarm optimization on their optimization performance
ZhiLei Wang, Toshio Ogawa, Yoshitaka Adachi
Advanced Theory and Simulations page: 1900110 2019.7
-
Evaluation of tensile properties of ferrite single-phase low-carbon steel with different initial microstructures Reviewed
Toshio Ogawa, H.Dannoshita, Yoshitaka Adachi
AIMS material science page: 100 2019.7
-
Wang Zhi-Lei, Yokoyama Yuuki, Onda Tetsuhiko, Adachi Yoshitaka, Chen Zhong-Chun
ADVANCED ELECTRONIC MATERIALS Vol. 5 ( 6 ) 2019.6
-
Wang Zhi-Lei, Adachi Yoshitaka
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING Vol. 744 page: 661 - 670 2019.1
-
Property prediction and properties-to-microstructure inverse analysis of steels by a machine-learning approach Reviewed
ZhiLei Wang, Yoshitaka Adachi
Material Science and Engineering A Vol. 744 ( 28 ) page: 661-667 2019.1
-
Ogawa Toshio, Dannoshita Hiroyuki, Adachi Yoshitaka
AIMS MATERIALS SCIENCE Vol. 6 ( 5 ) page: 798 - 805 2019
-
Properties-to-microstructure-to-processing Inverse Analysis for Steels via Machine Learning
Wang Zhi-Lei, Ogawa Toshio, Adachi Yoshitaka
ISIJ INTERNATIONAL Vol. 59 ( 9 ) page: 1691 - 1694 2019
-
理論式の高精度化のためのパラメータ推定
足立吉隆, ZhiLei Wang
ふぇらむ Vol. 23 ( 12 ) page: 42-49 2018.12
-
Cutting Edge of Steel Informatics and Future Prospects Reviewed
Vol. 23 ( 6 ) page: 25-31 2018.6
-
Shibanuma Kazuki, Nemoto Yoshiki, Hiraide Takashi, Suzuki Katsuyuki, Sadamatsu Sunao, Adachi Yoshitaka, Aihara Shuji
ACTA MATERIALIA Vol. 144 page: 386 - 399 2018.2
-
3D observation of micro-cracks as cleavage fracture initiation site in ferrite-pearlite steel Reviewed
Yoshiki Nemoto, Kazuki Shibanuma, Katsuyuki Suzuki, Yoshitaka Adachi, Shuji Aihara
ISIJ International Vol. 57 page: 746 2017
-
先進的画像処理による組織検出 Reviewed
田口茂樹, 弘川奨悟,安田格,徳田耕平,足立吉隆
鉄と鋼 Vol. 103 page: 142 2017
-
先進的画像処理による組織検出 Reviewed
田口茂樹, 弘川奨悟,安田格,徳田耕平,足立吉隆
鉄と鋼 Vol. 103 page: 142 2017
-
DP鋼の応力―ひずみ曲線を支配する組織因子のスパース学習 Reviewed
弘川奨悟,田口茂樹,松下康弘,足立吉隆
鉄と鋼 Vol. 103 page: 468 2017
-
機械学習支援の材料情報統合システム Invited Reviewed
足立吉隆,松下康弘,上村逸郎,井上純哉
システム制御情報学会誌 Vol. 61 page: 188 2017
-
Hirokawa Shogo, Taguchi Shigeki, Matsushita Yasuhiro, Adachi Yoshitaka
TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN Vol. 103 ( 8 ) page: 468 - 474 2017
-
材料工学における人工知能の活用 Invited Reviewed
足立吉隆, 材料工学における人工知能の活用
機能材料 Vol. 36 ( 9 ) page: 40 2016
-
初歩的な人工知能によるDP鋼の高次元組織データ駆動型応力−ひずみ曲線の予測 Reviewed
足立 吉隆, 新川田 圭介, 奥野 晃弘, 弘川 奨奨悟, 田口 茂樹
鉄と鋼 Vol. 102 ( 1 ) page: 47 2016
-
画像相関法によるFe-Mn-Si合金フェライトの塑性変形挙動解析 Reviewed
田畑亮, 鶴園弘明, 定松直, 足立吉隆
熱処理 Vol. 55 ( 6 ) page: 368 2016
-
ディープラーニングによる組織識別率の検証 Reviewed
足立吉隆,田口茂樹,弘川奨悟
鉄と鋼 Vol. 102 ( 12 ) page: 722 2016