{"id":"https://openalex.org/W2102210359","doi":"https://doi.org/10.1109/ijcnn.2009.5178974","title":"Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method","display_name":"Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2102210359","doi":"https://doi.org/10.1109/ijcnn.2009.5178974","mag":"2102210359"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2009.5178974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","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/A5070211110","display_name":"Steele Russell","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]},{"id":"https://openalex.org/I197173980","display_name":"Southeastern Louisiana University","ror":"https://ror.org/0531xck41","country_code":"US","type":"education","lineage":["https://openalex.org/I197173980","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Steele A. Russell","raw_affiliation_strings":["Center For Advanced Computer Studies, University of Louisiana, Lafayette, Lafayette, LA, USA","Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA, USA"],"affiliations":[{"raw_affiliation_string":"Center For Advanced Computer Studies, University of Louisiana, Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]},{"raw_affiliation_string":"Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA, USA","institution_ids":["https://openalex.org/I197173980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075357799","display_name":"Anthony S. Maida","orcid":"https://orcid.org/0000-0003-2586-2865"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony S. Maida","raw_affiliation_strings":["Center For Advanced Computer Studies, University of Louisiana, Lafayette, Lafayette, LA, USA"],"affiliations":[{"raw_affiliation_string":"Center For Advanced Computer Studies, University of Louisiana, Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070211110"],"corresponding_institution_ids":["https://openalex.org/I197173980","https://openalex.org/I79516672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11149295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"2725","last_page":"2731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9866999983787537,"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/T10057","display_name":"Face and Expression Recognition","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.8496401309967041},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7790265083312988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7265934944152832},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.7167640924453735},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5940398573875427},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5478382706642151},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.525702714920044},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4763734042644501},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45705103874206543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4285040497779846},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3909485340118408}],"concepts":[{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.8496401309967041},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7790265083312988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265934944152832},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.7167640924453735},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5940398573875427},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5478382706642151},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.525702714920044},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4763734042644501},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45705103874206543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4285040497779846},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3909485340118408},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2009.5178974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2009.5178974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Joint Conference on Neural Networks","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":19,"referenced_works":["https://openalex.org/W1566309885","https://openalex.org/W1573503290","https://openalex.org/W1586313164","https://openalex.org/W1824921430","https://openalex.org/W1825077972","https://openalex.org/W1841450225","https://openalex.org/W1980898137","https://openalex.org/W2096538674","https://openalex.org/W2105304725","https://openalex.org/W2105922750","https://openalex.org/W2123491406","https://openalex.org/W2149009003","https://openalex.org/W2150355110","https://openalex.org/W2155482699","https://openalex.org/W2544927610","https://openalex.org/W3121926921","https://openalex.org/W3143059483","https://openalex.org/W6638759419","https://openalex.org/W6675607048"],"related_works":["https://openalex.org/W2977982891","https://openalex.org/W4298111019","https://openalex.org/W4315435472","https://openalex.org/W2103292044","https://openalex.org/W2296440556","https://openalex.org/W2076543106","https://openalex.org/W2170343060","https://openalex.org/W2088798842","https://openalex.org/W1482859693","https://openalex.org/W1987886632"],"abstract_inverted_index":{"The":[0,20,70,92],"generalized":[1],"multilayer":[2],"perceptron":[3,11],"(gMLP)":[4],"augments":[5],"the":[6,9,37,46,56,74,80,85],"connections":[7,27,38],"in":[8,34,40],"multilayered":[10],"(MLP)":[12],"architecture":[13],"to":[14,31,36],"include":[15],"all":[16],"possible":[17],"non-recurrent":[18],"connections.":[19],"layered":[21],"arbitrarily":[22],"connected":[23],"network":[24],"(lACN)":[25],"has":[26],"from":[28],"input":[29],"nodes":[30,33],"output":[32],"addition":[35],"included":[39],"a":[41],"MLP.":[42],"In":[43,99],"this":[44],"paper":[45],"performance":[47],"of":[48,63,72,76],"MLP,":[49],"lACN":[50],"and":[51,84],"gMLP":[52],"networks":[53],"trained":[54],"using":[55],"Levenberg-Marquardt":[57],"method":[58],"are":[59],"compared.":[60],"A":[61],"number":[62,75],"different":[64],"function":[65],"approximation":[66],"tasks":[67],"were":[68,89],"examined.":[69],"effect":[71],"varying":[73],"hidden":[77],"layer":[78],"neurons,":[79],"error":[81],"termination":[82],"condition,":[83],"training":[86],"set":[87],"size":[88],"also":[90],"evaluated.":[91],"results":[93],"presented":[94],"here":[95],"represent":[96],"preliminary":[97],"findings.":[98],"particular,":[100],"additional":[101],"testing":[102],"on":[103],"benchmark":[104],"real":[105],"data":[106],"sets":[107],"is":[108],"needed.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
