{"id":"https://openalex.org/W2548772522","doi":"https://doi.org/10.1109/aipr.2009.5466326","title":"Biologically inspired motion detection neural network models evolved using genetic algorithms","display_name":"Biologically inspired motion detection neural network models evolved using genetic algorithms","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2548772522","doi":"https://doi.org/10.1109/aipr.2009.5466326","mag":"2548772522"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2009.5466326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2009.5466326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)","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/A5057748882","display_name":"Sherif Azary","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sherif W. Azary","raw_affiliation_strings":["Department of Computing and Information Sciences, Rochester Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Sciences, Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102863688","display_name":"Peter G. Anderson","orcid":"https://orcid.org/0000-0001-8057-9005"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter G. Anderson","raw_affiliation_strings":["Department of Computing and Information Sciences, Rochester Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Sciences, Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036689796","display_name":"Roger S. Gaborski","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger S. Gaborski","raw_affiliation_strings":["Department of Computing and Information Sciences, Rochester Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Information Sciences, Rochester Institute of Technology, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057748882"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35982326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9973999857902527,"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":0.991599977016449,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7798522710800171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6939999461174011},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5732510685920715},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5530710816383362},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.5435840487480164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5331605672836304},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.48949134349823},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.48421311378479004},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4723595082759857},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4106173515319824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3992149829864502},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.39244553446769714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3253694176673889},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08070379495620728}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7798522710800171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939999461174011},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5732510685920715},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5530710816383362},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.5435840487480164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5331605672836304},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.48949134349823},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.48421311378479004},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4723595082759857},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4106173515319824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3992149829864502},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.39244553446769714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3253694176673889},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08070379495620728},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2009.5466326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2009.5466326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1571671538","https://openalex.org/W1608292140","https://openalex.org/W1884783164","https://openalex.org/W1937779730","https://openalex.org/W1984927275","https://openalex.org/W2044184083","https://openalex.org/W2144856481","https://openalex.org/W2149774778","https://openalex.org/W2152280074","https://openalex.org/W4239400425","https://openalex.org/W6634007683","https://openalex.org/W6636451076","https://openalex.org/W6639217578"],"related_works":["https://openalex.org/W2106492215","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2164831575","https://openalex.org/W2378719652","https://openalex.org/W2115729582","https://openalex.org/W1595652908","https://openalex.org/W2094658154","https://openalex.org/W2370837632","https://openalex.org/W2354205711"],"abstract_inverted_index":{"In":[0],"this":[1,39],"paper":[2,40],"we":[3],"describe":[4],"a":[5,44,77,103,115,128,143,180,184],"method":[6,46],"to":[7,42,55,157,172,200,203,217],"evolve":[8,173],"biologically":[9,205],"inspired":[10],"motion":[11,60,207],"detection":[12,61,208],"systems":[13],"utilizing":[14],"artificial":[15],"neural":[16,23,29,49,64,209],"networks":[17,24,30,32,50],"(ANN's).":[18],"Previously,":[19],"the":[20,89,95,123,150,158,177,192,221],"evolution":[21],"of":[22,38,91,105,119,136,153,176,182],"has":[25,198],"focused":[26],"on":[27,83,102],"feed-forward":[28],"or":[31,88],"with":[33,51,69,80,127,166,212],"predefined":[34,53],"architectures.":[35],"The":[36,63,98,117,196],"purpose":[37],"is":[41,112,125,140,188],"present":[43],"novel":[45],"for":[47,133],"evolving":[48],"no":[52,81],"architectures":[54],"solve":[56],"various":[57],"problems":[58],"including":[59],"models.":[62],"network":[65,79,111,187,210],"models":[66,211],"are":[67,164,215],"evolved":[68,189],"genetic":[70,99],"algorithms":[71],"using":[72],"an":[73,154],"encoding":[74],"that":[75,93,146,190,214],"defines":[76],"functional":[78],"restriction":[82],"recurrence,":[84],"activation":[85],"function":[86,145],"types,":[87],"number":[90,181],"nodes":[92],"compose":[94],"final":[96],"ANN.":[97],"algorithm":[100],"operates":[101],"population":[104,124,170],"potential":[106,110],"solutions":[107],"where":[108],"each":[109,120],"represented":[113],"in":[114,122],"chromosome.":[116],"structure":[118],"chromosome":[121,139],"defined":[126],"weight":[129],"matrix":[130],"which":[131],"allows":[132],"efficient":[134],"simulation":[135],"outputs.":[137],"Each":[138],"evaluated":[141],"by":[142],"fitness":[144],"scores":[147],"how":[148],"well":[149],"actual":[151],"output":[152],"ANN":[155],"compares":[156],"expected":[159],"output.":[160],"Crossovers":[161],"and":[162],"mutations":[163],"made":[165],"specified":[167],"probabilities":[168],"between":[169],"members":[171,175],"new":[174],"population.":[178],"After":[179],"iterations":[183],"near":[185],"optimal":[186],"solves":[191],"problem":[193],"at":[194],"hand.":[195],"approach":[197],"proven":[199],"be":[201],"sufficient":[202],"create":[204],"realistic":[206],"results":[213,218],"comparable":[216],"obtained":[219],"from":[220],"standard":[222],"Reichardt":[223],"model.":[224]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}