{"id":"https://openalex.org/W821762853","doi":null,"title":"Global optimization via neural networks and D.C. programming.","display_name":"Global optimization via neural networks and D.C. programming.","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W821762853","mag":"821762853"},"language":"en","primary_location":{"id":"pmh:oai:repository.arizona.edu:10150/186617","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10150/186617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400271","display_name":"UA Campus Repository (The University of Arizona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I138006243","host_organization_name":"University of Arizona","host_organization_lineage":["https://openalex.org/I138006243"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation-Reproduction (electronic)"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5083864763","display_name":"Nicolas A. Roddier","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nicolas A. Roddier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5083864763"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9272000193595886,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9272000193595886,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10545","display_name":"Optimization and Variational Analysis","score":0.026599999517202377,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10320","display_name":"Neural Networks and Applications","score":0.0210999995470047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/global-optimization","display_name":"global optimization","score":1.0},{"id":"https://openalex.org/keywords/dc-programming","display_name":"DC programming","score":0.8069999814033508},{"id":"https://openalex.org/keywords/difference-of-convex-functions","display_name":"difference of convex functions","score":0.9890000224113464},{"id":"https://openalex.org/keywords/neural-network-modeling","display_name":"neural network modeling","score":0.7009999752044678},{"id":"https://openalex.org/keywords/global-minimization","display_name":"global minimization","score":0.890999972820282}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5582877397537231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.531787633895874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40896397829055786}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:repository.arizona.edu:10150/186617","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10150/186617","pdf_url":null,"source":{"id":"https://openalex.org/S4306400271","display_name":"UA Campus Repository (The University of Arizona)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I138006243","host_organization_name":"University of Arizona","host_organization_lineage":["https://openalex.org/I138006243"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation-Reproduction (electronic)"},{"id":"mag:821762853","doi":null,"is_oa":false,"landing_page_url":"http://arizona.openrepository.com/arizona/bitstream/10150/186617/1/azu_td_9424950_sip1_m.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2240272559","https://openalex.org/W3143751026","https://openalex.org/W44939114","https://openalex.org/W6941061698","https://openalex.org/W2132781023","https://openalex.org/W2363287057","https://openalex.org/W2222926704","https://openalex.org/W2186167604","https://openalex.org/W2619320709","https://openalex.org/W6941246097"],"abstract_inverted_index":{"The":[0,67,90,189,223,249],"ultimate":[1],"goal":[2],"of":[3,18,45,70,74,87,136,192,196,207,227,247,311,323,335],"this":[4,55,297],"work":[5,56,194],"is":[6,24,58,107,132,154,234,288,294,339],"to":[7,15,111,142,157,212,275,284,296,307],"provide":[8],"a":[9,35,40,76,80,84,98,125,173,208,262,291],"general":[10,77],"global":[11,41,200,205,309,320],"optimization":[12,201],"method.":[13],"Due":[14],"the":[16,19,21,46,71,94,101,119,134,137,159,180,186,193,198,204,213,230,237,278,285,300,308,312,319,324,328,332,336],"difficulty":[17],"problem,":[20],"complete":[22],"task":[23],"divided":[25],"into":[26,34,79,172,203,261],"several":[27],"sections.":[28],"These":[29],"sections":[30,48],"can":[31,168,257,303],"be":[32,143,169,259,267,304],"collected":[33],"modeling":[36,68,327],"phase":[37,69,191,225],"followed":[38],"by":[39],"minimization":[42,206],"phase.":[43],"Each":[44],"various":[47],"draws":[49],"from":[50,277],"different":[51],"engineering":[52],"fields.":[53,66],"What":[54],"suggests":[57],"an":[59,149],"interface":[60],"and":[61,109,265],"common":[62],"ground":[63],"between":[64,128],"these":[65,129],"procedure":[72,153,274],"consists":[73,195,226],"converting":[75],"problem":[78,167,202,338],"given":[81,155,221],"formulation":[82,287],"using":[83],"particular":[85],"type":[86],"neural":[88,95,104,114,122,162,214,281,325],"network.":[89,105,123,163],"architecture":[91],"required":[92],"for":[93,245],"network":[96,115,140,176,215,282,326],"forms":[97],"new":[99],"class:":[100],"pseudo":[102,160,174,250,279],"multilayer":[103,121,139,161,175,251,280],"It":[106],"introduced":[108],"compared":[110],"more":[112],"classical":[113],"architectures":[116],"such":[117,184,254],"as":[118,185,341],"regular":[120],"However,":[124],"key":[126],"difference":[127],"two":[130],"classes":[131],"that":[133,255],"behavior":[135],"usual":[138],"has":[141],"programmed":[144],"via":[145,236],"iterative":[146],"training,":[147],"while":[148],"extremely":[150],"efficient":[151],"direct":[152],"here":[156],"synthesize":[158],"Therefore":[164],"any":[165],"initial":[166,199,329],"systematically":[170,258],"converted":[171,260],"without":[177],"going":[178],"through":[179],"undesired":[181],"programming":[182,240],"steps":[183],"backpropagation":[187],"rule.":[188],"second":[190],"translating":[197],"target":[209,231,313],"function":[210,314],"related":[211],"model.":[216],"Systematic":[217],"procedures":[218],"are":[219],"again":[220],"here.":[222],"last":[224,298],"globally":[228],"minimizing":[229],"function.":[232],"This":[233],"done":[235],"so-called":[238],"DC":[239,243,263,270,286,292],"technique":[241],"where":[242],"stands":[244],"\"Difference":[246],"Convex\".":[248],"was":[252],"created":[253],"it":[256],"formulation,":[264,299],"therefore":[266],"compatible":[268],"with":[269],"programming.":[271],"A":[272],"translation":[273],"go":[276],"model":[283],"given.":[289],"When":[290],"program":[293],"applied":[295],"resulting":[301],"solution":[302,322,334],"directly":[305],"mapped":[306],"minimum":[310],"previously":[315],"defined,":[316],"thereby":[317],"producing":[318],"optimal":[321,333],"problem.":[330],"Therefore,":[331],"original":[337],"known":[340],"well.":[342]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}
