CATALYST DISCOVERY THROUGH PATTERN RECOGNITION-BASED MODELING AND DATA ANALYSIS
The present invention is a method to determine catalyst structures by correlating experimental conditions and directing agent characteristics to catalyst products. The correlating step is carried out by a performance model such as a neural net. La présente invention concerne un procédé de déterminat...
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creator | SCHMITT, KIRK, D BHAGAT, PHIROZ, M |
description | The present invention is a method to determine catalyst structures by correlating experimental conditions and directing agent characteristics to catalyst products. The correlating step is carried out by a performance model such as a neural net.
La présente invention concerne un procédé de détermination de structures de catalyseur par mise en corrélation de conditions expérimentales et par orientation des caractéristiques d'agent vers des produits de catalyseur. L'étape de mise en corrélation est exécutée par un modèle de performance tel qu'un réseau neuronal. |
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La présente invention concerne un procédé de détermination de structures de catalyseur par mise en corrélation de conditions expérimentales et par orientation des caractéristiques d'agent vers des produits de catalyseur. L'étape de mise en corrélation est exécutée par un modèle de performance tel qu'un réseau neuronal.</description><language>eng ; fre</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</subject><creationdate>2008</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=20080717&DB=EPODOC&CC=WO&NR=2008085355A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20080717&DB=EPODOC&CC=WO&NR=2008085355A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SCHMITT, KIRK, D</creatorcontrib><creatorcontrib>BHAGAT, PHIROZ, M</creatorcontrib><title>CATALYST DISCOVERY THROUGH PATTERN RECOGNITION-BASED MODELING AND DATA ANALYSIS</title><description>The present invention is a method to determine catalyst structures by correlating experimental conditions and directing agent characteristics to catalyst products. The correlating step is carried out by a performance model such as a neural net.
La présente invention concerne un procédé de détermination de structures de catalyseur par mise en corrélation de conditions expérimentales et par orientation des caractéristiques d'agent vers des produits de catalyseur. L'étape de mise en corrélation est exécutée par un modèle de performance tel qu'un réseau neuronal.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2008</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPB3dgxx9IkMDlFw8Qx29g9zDYpUCPEI8g9191AIcAwJcQ3yUwhydfZ39_MM8fT303VyDHZ1UfD1d3H18fRzV3D0c1FwAZoAZIBM8QzmYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXx4f5GBgYWBhamxqamjobGxKkCACyyL_c</recordid><startdate>20080717</startdate><enddate>20080717</enddate><creator>SCHMITT, KIRK, D</creator><creator>BHAGAT, PHIROZ, M</creator><scope>EVB</scope></search><sort><creationdate>20080717</creationdate><title>CATALYST DISCOVERY THROUGH PATTERN RECOGNITION-BASED MODELING AND DATA ANALYSIS</title><author>SCHMITT, KIRK, D ; BHAGAT, PHIROZ, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2008085355A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2008</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SCHMITT, KIRK, D</creatorcontrib><creatorcontrib>BHAGAT, PHIROZ, M</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SCHMITT, KIRK, D</au><au>BHAGAT, PHIROZ, M</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>CATALYST DISCOVERY THROUGH PATTERN RECOGNITION-BASED MODELING AND DATA ANALYSIS</title><date>2008-07-17</date><risdate>2008</risdate><abstract>The present invention is a method to determine catalyst structures by correlating experimental conditions and directing agent characteristics to catalyst products. The correlating step is carried out by a performance model such as a neural net.
La présente invention concerne un procédé de détermination de structures de catalyseur par mise en corrélation de conditions expérimentales et par orientation des caractéristiques d'agent vers des produits de catalyseur. L'étape de mise en corrélation est exécutée par un modèle de performance tel qu'un réseau neuronal.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
title | CATALYST DISCOVERY THROUGH PATTERN RECOGNITION-BASED MODELING AND DATA ANALYSIS |
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