ANTI-CORROSION STEEL COMPONENT SEARCH DEVICE, ANTI-CORROSION STEEL COMPONENT SEARCH METHOD, AND PROGRAM
To provide an anti-corrosion steel component search device, anti-corrosion steel component search method, and program which can search for components more broadly.SOLUTION: An anti-corrosion steel component search device includes: a prediction model generation unit which generates a prediction model...
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| creator | SAWADA SHINYA SATO HISASHI KAWABATA NORIMASA KODAMA MASAYUKI TOMIO AKIKO TSUTSUI KAZUMASA NAGASAWA SHIN NISHIMOTO TAKUMI |
| description | To provide an anti-corrosion steel component search device, anti-corrosion steel component search method, and program which can search for components more broadly.SOLUTION: An anti-corrosion steel component search device includes: a prediction model generation unit which generates a prediction model that predicts the corrosion resistance of an alloy from components of the alloy on the basis of a data set consisting of data showing the components of the alloy and data showing the corrosion resistance of the alloy; a search object selection unit which selects a search candidate with the largest acquisition function calculated by the prediction model as a search object from the multiple search candidates containing data indicating the components of the alloy; a clustering unit which clusters the multiple selected search objects into multiple clusters; and a representative determination unit which determines the representative components in the cluster.SELECTED DRAWING: Figure 1
【課題】より広範に成分を探索することができる耐食鋼の成分探索装置、耐食鋼の成分探索方法、およびプログラムを提供する。【解決手段】合金の成分を示すデータと前記合金の耐食性を示すデータとからなるデータセットに基づいて、合金の成分から合金の耐食性を予測する予測モデルを生成する予測モデル生成部と、合金の成分を示すデータを含む複数の探索候補から、前記予測モデルにより計算される獲得関数が最も大きい探索候補を探索対象として選択する探索対象選択部と、前記選択された複数の探索対象を複数のクラスタにクラスタリングするクラスタリング部と、前記クラスタにおける代表となる成分を決定する代表決定部と、を備える耐食鋼の成分探索装置。【選択図】図１ |
| format | Patent |
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【課題】より広範に成分を探索することができる耐食鋼の成分探索装置、耐食鋼の成分探索方法、およびプログラムを提供する。【解決手段】合金の成分を示すデータと前記合金の耐食性を示すデータとからなるデータセットに基づいて、合金の成分から合金の耐食性を予測する予測モデルを生成する予測モデル生成部と、合金の成分を示すデータを含む複数の探索候補から、前記予測モデルにより計算される獲得関数が最も大きい探索候補を探索対象として選択する探索対象選択部と、前記選択された複数の探索対象を複数のクラスタにクラスタリングするクラスタリング部と、前記クラスタにおける代表となる成分を決定する代表決定部と、を備える耐食鋼の成分探索装置。【選択図】図１</description><language>eng ; jpn</language><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240823&DB=EPODOC&CC=JP&NR=2024113865A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240823&DB=EPODOC&CC=JP&NR=2024113865A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SAWADA SHINYA</creatorcontrib><creatorcontrib>SATO HISASHI</creatorcontrib><creatorcontrib>KAWABATA NORIMASA</creatorcontrib><creatorcontrib>KODAMA MASAYUKI</creatorcontrib><creatorcontrib>TOMIO AKIKO</creatorcontrib><creatorcontrib>TSUTSUI KAZUMASA</creatorcontrib><creatorcontrib>NAGASAWA SHIN</creatorcontrib><creatorcontrib>NISHIMOTO TAKUMI</creatorcontrib><title>ANTI-CORROSION STEEL COMPONENT SEARCH DEVICE, ANTI-CORROSION STEEL COMPONENT SEARCH METHOD, AND PROGRAM</title><description>To provide an anti-corrosion steel component search device, anti-corrosion steel component search method, and program which can search for components more broadly.SOLUTION: An anti-corrosion steel component search device includes: a prediction model generation unit which generates a prediction model that predicts the corrosion resistance of an alloy from components of the alloy on the basis of a data set consisting of data showing the components of the alloy and data showing the corrosion resistance of the alloy; a search object selection unit which selects a search candidate with the largest acquisition function calculated by the prediction model as a search object from the multiple search candidates containing data indicating the components of the alloy; a clustering unit which clusters the multiple selected search objects into multiple clusters; and a representative determination unit which determines the representative components in the cluster.SELECTED DRAWING: Figure 1
【課題】より広範に成分を探索することができる耐食鋼の成分探索装置、耐食鋼の成分探索方法、およびプログラムを提供する。【解決手段】合金の成分を示すデータと前記合金の耐食性を示すデータとからなるデータセットに基づいて、合金の成分から合金の耐食性を予測する予測モデルを生成する予測モデル生成部と、合金の成分を示すデータを含む複数の探索候補から、前記予測モデルにより計算される獲得関数が最も大きい探索候補を探索対象として選択する探索対象選択部と、前記選択された複数の探索対象を複数のクラスタにクラスタリングするクラスタリング部と、前記クラスタにおける代表となる成分を決定する代表決定部と、を備える耐食鋼の成分探索装置。【選択図】図１</description><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZEh39Avx1HX2DwryD_b091MIDnF19VFw9vcN8Pdz9QtRCHZ1DHL2UHBxDfN0dtVRIE61r2uIh78LSLWLQkCQv3uQoy8PA2taYk5xKi-U5mZQcnMNcfbQTS3Ij08tLkhMTs1LLYn3CjAyMDIxNDS2MDN1NCZKEQBm_jXQ</recordid><startdate>20240823</startdate><enddate>20240823</enddate><creator>SAWADA SHINYA</creator><creator>SATO HISASHI</creator><creator>KAWABATA NORIMASA</creator><creator>KODAMA MASAYUKI</creator><creator>TOMIO AKIKO</creator><creator>TSUTSUI KAZUMASA</creator><creator>NAGASAWA SHIN</creator><creator>NISHIMOTO TAKUMI</creator><scope>EVB</scope></search><sort><creationdate>20240823</creationdate><title>ANTI-CORROSION STEEL COMPONENT SEARCH DEVICE, ANTI-CORROSION STEEL COMPONENT SEARCH METHOD, AND PROGRAM</title><author>SAWADA SHINYA ; SATO HISASHI ; KAWABATA NORIMASA ; KODAMA MASAYUKI ; TOMIO AKIKO ; TSUTSUI KAZUMASA ; NAGASAWA SHIN ; NISHIMOTO TAKUMI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2024113865A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2024</creationdate><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SAWADA SHINYA</creatorcontrib><creatorcontrib>SATO HISASHI</creatorcontrib><creatorcontrib>KAWABATA NORIMASA</creatorcontrib><creatorcontrib>KODAMA MASAYUKI</creatorcontrib><creatorcontrib>TOMIO AKIKO</creatorcontrib><creatorcontrib>TSUTSUI KAZUMASA</creatorcontrib><creatorcontrib>NAGASAWA SHIN</creatorcontrib><creatorcontrib>NISHIMOTO TAKUMI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SAWADA SHINYA</au><au>SATO HISASHI</au><au>KAWABATA NORIMASA</au><au>KODAMA MASAYUKI</au><au>TOMIO AKIKO</au><au>TSUTSUI KAZUMASA</au><au>NAGASAWA SHIN</au><au>NISHIMOTO TAKUMI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ANTI-CORROSION STEEL COMPONENT SEARCH DEVICE, ANTI-CORROSION STEEL COMPONENT SEARCH METHOD, AND PROGRAM</title><date>2024-08-23</date><risdate>2024</risdate><abstract>To provide an anti-corrosion steel component search device, anti-corrosion steel component search method, and program which can search for components more broadly.SOLUTION: An anti-corrosion steel component search device includes: a prediction model generation unit which generates a prediction model that predicts the corrosion resistance of an alloy from components of the alloy on the basis of a data set consisting of data showing the components of the alloy and data showing the corrosion resistance of the alloy; a search object selection unit which selects a search candidate with the largest acquisition function calculated by the prediction model as a search object from the multiple search candidates containing data indicating the components of the alloy; a clustering unit which clusters the multiple selected search objects into multiple clusters; and a representative determination unit which determines the representative components in the cluster.SELECTED DRAWING: Figure 1
【課題】より広範に成分を探索することができる耐食鋼の成分探索装置、耐食鋼の成分探索方法、およびプログラムを提供する。【解決手段】合金の成分を示すデータと前記合金の耐食性を示すデータとからなるデータセットに基づいて、合金の成分から合金の耐食性を予測する予測モデルを生成する予測モデル生成部と、合金の成分を示すデータを含む複数の探索候補から、前記予測モデルにより計算される獲得関数が最も大きい探索候補を探索対象として選択する探索対象選択部と、前記選択された複数の探索対象を複数のクラスタにクラスタリングするクラスタリング部と、前記クラスタにおける代表となる成分を決定する代表決定部と、を備える耐食鋼の成分探索装置。【選択図】図１</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | ANTI-CORROSION STEEL COMPONENT SEARCH DEVICE, ANTI-CORROSION STEEL COMPONENT SEARCH METHOD, AND PROGRAM |
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