{"id":"https://openalex.org/W2995887183","doi":null,"title":"Training Neural Networks Through the Integration of Evolution and Gradient Descent","display_name":"Training Neural Networks Through the Integration of Evolution and Gradient Descent","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2995887183","mag":"2995887183"},"language":"en","primary_location":{"id":"pmh:oai:stars.library.ucf.edu:etd-7714","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/etd/6714","pdf_url":"https://stars.library.ucf.edu/etd/6714","source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/etd/6714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003549623","display_name":"Gregory Morse","orcid":"https://orcid.org/0000-0002-0231-6557","observed_orcids":["https://orcid.org/0000-0002-0231-6557"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gregory Morse","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0231-6557","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5003549623"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15822377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9282000064849854,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9282000064849854,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.03660000115633011,"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/T10320","display_name":"Neural Networks and Applications","score":0.01769999973475933,"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/neural-network-training","display_name":"neural network training","score":0.9309999942779541},{"id":"https://openalex.org/keywords/neuroevolution","display_name":"neuroevolution","score":0.9860000014305115},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"gradient descent","score":0.8299999833106995},{"id":"https://openalex.org/keywords/novelty-search","display_name":"novelty search","score":0.871999979019165},{"id":"https://openalex.org/keywords/indirect-encoding","display_name":"indirect encoding","score":0.9210000038146973},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.7599999904632568},{"id":"https://openalex.org/keywords/stl-10","display_name":"STL-10","score":0.8949999809265137}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.653286337852478},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5546450018882751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49002134799957275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4891712963581085},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.46383628249168396},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.43242383003234863},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2113710641860962},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:stars.library.ucf.edu:etd-7714","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/etd/6714","pdf_url":"https://stars.library.ucf.edu/etd/6714","source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},{"id":"mag:2995887183","doi":null,"is_oa":false,"landing_page_url":"https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7714&context=etd","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":{"id":"pmh:oai:stars.library.ucf.edu:etd-7714","doi":null,"is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/etd/6714","pdf_url":"https://stars.library.ucf.edu/etd/6714","source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995887183.pdf","grobid_xml":"https://content.openalex.org/works/W2995887183.grobid-xml"},"referenced_works_count":95,"referenced_works":["https://openalex.org/W18965947","https://openalex.org/W20283819","https://openalex.org/W44465109","https://openalex.org/W169320414","https://openalex.org/W200738318","https://openalex.org/W613766092","https://openalex.org/W1497256448","https://openalex.org/W1538131130","https://openalex.org/W1547737196","https://openalex.org/W1573534773","https://openalex.org/W1601896814","https://openalex.org/W1613249581","https://openalex.org/W1674110665","https://openalex.org/W1677182931","https://openalex.org/W1738827650","https://openalex.org/W1757796397","https://openalex.org/W1945976014","https://openalex.org/W1964166287","https://openalex.org/W1971259134","https://openalex.org/W1977418904","https://openalex.org/W1985311200","https://openalex.org/W2040870580","https://openalex.org/W2053824000","https://openalex.org/W2059148040","https://openalex.org/W2061719199","https://openalex.org/W2064675550","https://openalex.org/W2072128103","https://openalex.org/W2076998221","https://openalex.org/W2092582887","https://openalex.org/W2096737765","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2100097207","https://openalex.org/W2103496339","https://openalex.org/W2103575890","https://openalex.org/W2108598243","https://openalex.org/W2108665656","https://openalex.org/W2108948681","https://openalex.org/W2109364787","https://openalex.org/W2110798204","https://openalex.org/W2111221652","https://openalex.org/W2111935653","https://openalex.org/W2112796928","https://openalex.org/W2116119284","https://openalex.org/W2116360511","https://openalex.org/W2118858186","https://openalex.org/W2120264920","https://openalex.org/W2120480077","https://openalex.org/W2126105956","https://openalex.org/W2126240354","https://openalex.org/W2132194070","https://openalex.org/W2136922672","https://openalex.org/W2138784882","https://openalex.org/W2141860972","https://openalex.org/W2146989110","https://openalex.org/W2150139843","https://openalex.org/W2151083897","https://openalex.org/W2155921792","https://openalex.org/W2156163116","https://openalex.org/W2158054309","https://openalex.org/W2161336914","https://openalex.org/W2162006472","https://openalex.org/W2165533158","https://openalex.org/W2171658832","https://openalex.org/W2176754837","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2295370512","https://openalex.org/W2323385789","https://openalex.org/W2341171179","https://openalex.org/W2394932179","https://openalex.org/W2432004435","https://openalex.org/W2462548332","https://openalex.org/W2583761661","https://openalex.org/W2587019100","https://openalex.org/W2593744649","https://openalex.org/W2594529350","https://openalex.org/W2596367596","https://openalex.org/W2606844113","https://openalex.org/W2613634265","https://openalex.org/W2766447205","https://openalex.org/W2766736793","https://openalex.org/W2778749116","https://openalex.org/W2779918130","https://openalex.org/W2785430118","https://openalex.org/W2787387965","https://openalex.org/W2946086434","https://openalex.org/W2949650786","https://openalex.org/W2963216850","https://openalex.org/W2963588848","https://openalex.org/W2963790038","https://openalex.org/W2964153729","https://openalex.org/W3037068507","https://openalex.org/W4255158661","https://openalex.org/W4297074922"],"related_works":["https://openalex.org/W3133727220","https://openalex.org/W183869446","https://openalex.org/W4412641604","https://openalex.org/W2064313424","https://openalex.org/W3116950210","https://openalex.org/W4205345693","https://openalex.org/W2906697496","https://openalex.org/W7095547665","https://openalex.org/W2068466595","https://openalex.org/W2875435464"],"abstract_inverted_index":{"Neural":[0],"networks":[1,30],"have":[2,61],"achieved":[3,32],"widespread":[4],"adoption":[5],"due":[6],"to":[7,11,21,138,151,237,303,306,329],"both":[8,54,82],"their":[9,18],"applicability":[10],"a":[12,120,147,176,188,278],"wide":[13],"range":[14],"of":[15,28,35,55,99,123,195,203,225,253,258,264,294,333],"problems":[16],"and":[17,85,102,133,159,209,249,312],"success":[19],"relative":[20],"other":[22],"machine":[23],"learning":[24,84,132],"algorithms.":[25],"The":[26,108,163,200,262],"training":[27,59,105],"neural":[29,57,106,197],"is":[31,110,168,319,327],"through":[33,47],"any":[34],"several":[36],"paradigms,":[37],"most":[38],"prominently":[39],"gradient-based":[40],"approaches":[41,49],"(including":[42],"deep":[43,83],"learning),":[44],"but":[45],"also":[46],"up-and-coming":[48],"like":[50,141],"neuroevolution.":[51,86],"However,":[52],"while":[53],"these":[56,265],"network":[58,198],"paradigms":[60],"seen":[62],"major":[63,165],"improvements":[64],"over":[65,287],"the":[66,79,97,112,135,196,251,256,292,322],"past":[67],"decade,":[68],"little":[69],"work":[70,227],"has":[71],"been":[72],"invested":[73],"in":[74,183,246,297,321],"developing":[75],"algorithms":[76,92,153],"that":[77,93,154,228,270,274],"incorporate":[78],"advances":[80],"from":[81],"This":[87,144,317],"dissertation":[88],"introduces":[89],"two":[90],"new":[91],"are":[94,127,181,213,275],"steps":[95],"towards":[96],"integration":[98],"gradient":[100,142,160,189,220,282,288],"descent":[101,161,190,289],"neuroevolution":[103,177,201,215],"for":[104,192,243,255,281],"networks.":[107],"first":[109],"(1)":[111],"Limited":[113],"Evaluation":[114],"Evolutionary":[115],"Algorithm":[116],"(LEEA),":[117],"which":[118,174,212],"implements":[119],"novel":[121],"form":[122],"evolution":[124],"where":[125,179,325],"individuals":[126],"partially":[128],"evaluated,":[129],"allowing":[130],"rapid":[131],"enabling":[134],"evolutionary":[136,158],"algorithm":[137,166],"behave":[139],"more":[140,155],"descent.":[143],"conception":[145],"provides":[146],"critical":[148],"stepping":[149],"stone":[150],"future":[152],"tightly":[156],"couple":[157],"components.":[162],"second":[164],"(2)":[167],"Divergent":[169],"Discriminative":[170],"Feature":[171],"Accumulation":[172],"(DDFA),":[173],"combines":[175],"phase,":[178],"features":[180,273,296],"collected":[182],"an":[184,206,234,239,298],"unsupervised":[185,299],"manner,":[186],"with":[187,284,308],"phase":[191,202],"fine":[193],"tuning":[194],"weights.":[199],"DDFA":[204,231,254,266,271,302,326],"utilizes":[205],"indirect":[207],"encoding":[208],"novelty":[210,244],"search,":[211],"sophisticated":[214],"components":[216],"rarely":[217],"incorporated":[218],"into":[219],"descent-based":[221],"systems.":[222],"Further":[223],"contributions":[224],"this":[226],"build":[229],"on":[230],"include":[232],"(3)":[233],"empirical":[235],"analysis":[236],"identify":[238],"effective":[240,276,331],"distance":[241],"function":[242],"search":[245],"high":[247],"dimensions":[248],"(4)":[250],"extension":[252],"purpose":[257],"discovering":[259],"convolutional":[260],"features.":[261],"results":[263],"experiments":[267],"together":[268],"show":[269],"discovers":[272],"as":[277],"starting":[279],"point":[280],"descent,":[283],"significant":[285],"improvement":[286],"alone.":[290],"Additionally,":[291],"method":[293],"collecting":[295],"manner":[300],"allows":[301],"be":[304],"applied":[305],"domains":[307],"abundant":[309],"unlabeled":[310,334],"data":[311],"relatively":[313],"sparse":[314],"labeled":[315],"data.":[316,335],"ability":[318],"highlighted":[320],"STL-10":[323],"domain,":[324],"shown":[328],"make":[330],"use":[332]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-26T00:00:00"}
