{"id":"https://openalex.org/W2171202652","doi":"https://doi.org/10.1109/ipdps.2004.1303214","title":"Particle swarm optimization and neural network application for QSAR","display_name":"Particle swarm optimization and neural network application for QSAR","publication_year":2004,"publication_date":"2004-06-10","ids":{"openalex":"https://openalex.org/W2171202652","doi":"https://doi.org/10.1109/ipdps.2004.1303214","mag":"2171202652"},"language":"en","primary_location":{"id":"doi:10.1109/ipdps.2004.1303214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps.2004.1303214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103523788","display_name":"Zhiwei Wang","orcid":"https://orcid.org/0009-0000-0279-018X"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Wang","raw_affiliation_strings":["ECE Department, IUPUI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, IUPUI, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045583445","display_name":"Gregory L. Durst","orcid":null},"institutions":[{"id":"https://openalex.org/I168537998","display_name":"Eli Lilly (United States)","ror":"https://ror.org/01qat3289","country_code":"US","type":"company","lineage":["https://openalex.org/I168537998"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G.L. Durst","raw_affiliation_strings":["Eli Lilly and Company, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eli Lilly and Company, USA","institution_ids":["https://openalex.org/I168537998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109974163","display_name":"R.C. Eberhart","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.C. Eberhart","raw_affiliation_strings":["ECE Department, IUPUI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, IUPUI, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111660735","display_name":"Donald B. Boyd","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.B. Boyd","raw_affiliation_strings":["Chemistry Department, IUPUI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chemistry Department, IUPUI, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083472980","display_name":"Zina Ben Miled","orcid":"https://orcid.org/0000-0001-5401-0368"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Z.B. Miled","raw_affiliation_strings":["ECE Department, IUPUI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, IUPUI","institution_ids":["https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8598,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.83052986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantitative-structure\u2013activity-relationship","display_name":"Quantitative structure\u2013activity relationship","score":0.7788231372833252},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7592837810516357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.696832001209259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027936339378357},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5811703205108643},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5303419828414917},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4395352005958557},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43027758598327637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42060261964797974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35311901569366455},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3274048864841461},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32379215955734253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17349159717559814}],"concepts":[{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"score":0.7788231372833252},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7592837810516357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.696832001209259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027936339378357},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5811703205108643},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5303419828414917},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4395352005958557},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43027758598327637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42060261964797974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35311901569366455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3274048864841461},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32379215955734253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17349159717559814},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipdps.2004.1303214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps.2004.1303214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.4.1428","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.1428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.hicomb.org/papers/HICOMB2004-13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307758","display_name":"Eli Lilly and Company","ror":"https://ror.org/01qat3289"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1607549418","https://openalex.org/W1987460555","https://openalex.org/W2002817195","https://openalex.org/W2015870870","https://openalex.org/W2019980219","https://openalex.org/W2023713567","https://openalex.org/W2037452557","https://openalex.org/W2064681033","https://openalex.org/W2081982874","https://openalex.org/W2083534494","https://openalex.org/W2088791192","https://openalex.org/W2109481202","https://openalex.org/W2144323544","https://openalex.org/W2162517024","https://openalex.org/W2912934387","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W2382340815","https://openalex.org/W1972650408","https://openalex.org/W2551736466","https://openalex.org/W1997566113","https://openalex.org/W3189652131","https://openalex.org/W2908740012","https://openalex.org/W1967793880","https://openalex.org/W2792066564","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"A":[4,70],"successful":[5],"approach":[6,62,84,110],"to":[7,40,102,120],"building":[8],"QSAR":[9,43,113],"models":[10],"was":[11],"proposed":[12,75,109],"by":[13,56],"other":[14],"researchers.":[15],"It":[16],"uses":[17,85],"binary":[18],"particle":[19,86],"swarm":[20,87],"optimization":[21,88],"(BPSO)":[22],"for":[23,94],"feature":[24],"selection":[25],"in":[26,36,50,90,100],"the":[27,37,47,51,58,78,91,104,117,121,124],"first":[28,52],"stage,":[29],"and":[30,96],"a":[31,42],"back":[32,81,125],"propagation":[33,126],"neural":[34],"network":[35],"second":[38,92],"stage":[39,93],"generate":[41],"model":[44],"based":[45],"on":[46,63],"features":[48],"selected":[49],"stage.":[53],"We":[54],"start":[55],"reestablishing":[57],"results":[59],"of":[60,67,80,106,123],"this":[61],"an":[64],"extended":[65],"number":[66],"data":[68],"sets.":[69],"new":[71],"method":[72],"is":[73],"then":[74],"that":[76],"addresses":[77],"limitation":[79],"propagation.":[82],"This":[83],"(PSO)":[89],"training":[95],"bootstrap":[97],"aggregation":[98],"(bagging)":[99],"order":[101],"overcome":[103],"instability":[105],"PSO.":[107],"The":[108],"yields":[111],"robust":[112],"models,":[114],"while":[115],"reducing":[116],"variability":[118],"due":[119],"choice":[122],"parameters.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}