{"id":"https://openalex.org/W2084917200","doi":"https://doi.org/10.1162/neco.2007.08-06-316","title":"Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems","display_name":"Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems","publication_year":2007,"publication_date":"2007-11-28","ids":{"openalex":"https://openalex.org/W2084917200","doi":"https://doi.org/10.1162/neco.2007.08-06-316","mag":"2084917200","pmid":"https://pubmed.ncbi.nlm.nih.gov/18045024"},"language":"en","primary_location":{"id":"doi:10.1162/neco.2007.08-06-316","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco.2007.08-06-316","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5057929380","display_name":"Matthias Ihme","orcid":"https://orcid.org/0000-0002-4158-7050"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Ihme","raw_affiliation_strings":["Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A","Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A. mihme@stanford.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A. mihme@stanford.edu","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087790536","display_name":"Alison L. Marsden","orcid":"https://orcid.org/0000-0003-1902-171X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alison L. Marsden","raw_affiliation_strings":["Pediatrics Department, Stanford University, Stanford, CA 94305, U.S.A","Pediatrics Department, Stanford University, Stanford, CA 94305, U.S.A. amarsden@stanford.edu#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pediatrics Department, Stanford University, Stanford, CA 94305, U.S.A","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Pediatrics Department, Stanford University, Stanford, CA 94305, U.S.A. amarsden@stanford.edu#TAB#","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048936220","display_name":"Heinz Pitsch","orcid":"https://orcid.org/0000-0001-5656-0961"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heinz Pitsch","raw_affiliation_strings":["Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A","Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A. h.pitsch@stanford.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, U.S.A. h.pitsch@stanford.edu","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":6.1528,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96066434,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"573","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9854000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6394379734992981},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5786569714546204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5519310832023621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5517975687980652},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5003964900970459},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3985241651535034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37453532218933105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21885746717453003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15183809399604797}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6394379734992981},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5786569714546204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519310832023621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5517975687980652},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5003964900970459},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3985241651535034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37453532218933105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21885746717453003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15183809399604797},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008956","descriptor_name":"Models, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1162/neco.2007.08-06-316","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco.2007.08-06-316","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:18045024","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18045024","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null},{"id":"pmh:oai:publications.rwth-aachen.de:481863","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-2015-04444%22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neural computation 20(2), 573601 (2008). doi:10.1162/neco.2007.08-06-316","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1550542145","https://openalex.org/W1581066146","https://openalex.org/W1589463031","https://openalex.org/W1608292140","https://openalex.org/W1787924847","https://openalex.org/W1825077972","https://openalex.org/W1937779730","https://openalex.org/W1966113499","https://openalex.org/W1971200627","https://openalex.org/W1985412770","https://openalex.org/W1985716061","https://openalex.org/W1999010882","https://openalex.org/W2006575733","https://openalex.org/W2008292066","https://openalex.org/W2014337138","https://openalex.org/W2020596996","https://openalex.org/W2029332330","https://openalex.org/W2036255495","https://openalex.org/W2036470899","https://openalex.org/W2038013704","https://openalex.org/W2038669746","https://openalex.org/W2040131153","https://openalex.org/W2041837258","https://openalex.org/W2042736459","https://openalex.org/W2044155535","https://openalex.org/W2047710483","https://openalex.org/W2054875385","https://openalex.org/W2059103386","https://openalex.org/W2070231720","https://openalex.org/W2070745108","https://openalex.org/W2106225580","https://openalex.org/W2124290836","https://openalex.org/W2124776405","https://openalex.org/W2127011380","https://openalex.org/W2128033389","https://openalex.org/W2134273960","https://openalex.org/W2138784882","https://openalex.org/W2141906015","https://openalex.org/W2146068414","https://openalex.org/W2147632348","https://openalex.org/W2156127461","https://openalex.org/W2170333278","https://openalex.org/W3020882730","https://openalex.org/W4243645092"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W4386799044","https://openalex.org/W2334479858","https://openalex.org/W2799209613","https://openalex.org/W2773208253"],"abstract_inverted_index":{"A":[0],"pattern":[1,27],"search":[2,28],"optimization":[3,96],"method":[4,31,75,97],"is":[5,17,62,98],"applied":[6,99],"to":[7,24,100],"the":[8,25,33,59,71,81,85,91,129,150,154,157,181,198],"generation":[9],"of":[10,73,83,87,104,120,128,131,149,156,162,180,197],"optimal":[11,125,132,151],"artificial":[12],"neural":[13,40],"networks":[14],"(ANNs).":[15],"Optimization":[16],"performed":[18],"using":[19,124,185],"a":[20,57,101,112,163,190],"mixed":[21],"variable":[22],"extension":[23],"generalized":[26],"method.":[29],"This":[30],"offers":[32],"advantage":[34],"that":[35],"categorical":[36],"variables,":[37],"such":[38],"as":[39,49,118],"transfer":[41,88],"functions":[42,119],"and":[43,90,111,173],"nodal":[44],"connectivities,":[45],"can":[46],"be":[47],"used":[48,54],"parameters":[50,123],"in":[51,76,144],"optimization.":[52],"When":[53],"together":[55],"with":[56,134],"surrogate,":[58],"resulting":[60],"algorithm":[61],"highly":[63],"efficient":[64],"for":[65,80,153],"expensive":[66],"objective":[67],"functions.":[68],"Results":[69],"demonstrate":[70],"effectiveness":[72],"this":[74,108],"optimizing":[77],"an":[78],"ANN":[79,152],"number":[82],"neurons,":[84],"type":[86],"function,":[89],"connectivity":[92],"among":[93],"neurons.":[94],"The":[95,147],"chemistry":[102],"approximation":[103,155],"practical":[105],"relevance.":[106],"In":[107],"application,":[109],"temperature":[110],"chemical":[113,158,182],"source":[114,159,183],"term":[115,160,184],"are":[116],"approximated":[117],"two":[121],"independent":[122],"ANNs.":[126],"Comparison":[127],"performance":[130],"ANNs":[133],"conventional":[135],"tabulation":[136,186],"methods":[137],"demonstrates":[138],"equivalent":[139,178],"accuracy":[140],"by":[141],"considerable":[142],"savings":[143],"memory":[145],"storage.":[146],"architecture":[148],"consists":[161],"fully":[164],"connected":[165],"feedforward":[166],"network":[167],"having":[168],"four":[169],"nonlinear":[170],"hidden":[171],"layers":[172],"117":[174],"synaptic":[175],"weights.":[176],"An":[177],"representation":[179],"techniques":[187],"would":[188],"require":[189],"500":[191,193],"x":[192],"grid":[194],"point":[195],"discretization":[196],"parameter":[199],"space.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}