{"id":"https://openalex.org/W2550835006","doi":"https://doi.org/10.1007/978-3-319-48506-5_19","title":"Weighted Nonlinear Line Attractor for Complex Manifold Learning","display_name":"Weighted Nonlinear Line Attractor for Complex Manifold Learning","publication_year":2016,"publication_date":"2016-11-23","ids":{"openalex":"https://openalex.org/W2550835006","doi":"https://doi.org/10.1007/978-3-319-48506-5_19","mag":"2550835006"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-48506-5_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-48506-5_19","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-48506-5_19","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018910735","display_name":"Theus H. Aspiras","orcid":"https://orcid.org/0000-0002-8473-0494"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theus H. Aspiras","raw_affiliation_strings":["University of Dayton, Dayton, OH, 45496, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dayton, Dayton, OH, 45496, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061050831","display_name":"Vijayan K. Asari","orcid":"https://orcid.org/0000-0002-3751-5492"},"institutions":[{"id":"https://openalex.org/I127591826","display_name":"University of Dayton","ror":"https://ror.org/021v3qy27","country_code":"US","type":"education","lineage":["https://openalex.org/I127591826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijayan K. Asari","raw_affiliation_strings":["University of Dayton, Dayton, OH, 45496, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Dayton, Dayton, OH, 45496, USA","institution_ids":["https://openalex.org/I127591826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060098548","display_name":"Wesam Sakla","orcid":"https://orcid.org/0000-0003-4100-3542"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wesam Sakla","raw_affiliation_strings":["Lawrence Livermore National Laboratory, Livermore, CA, 94550, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory, Livermore, CA, 94550, USA","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20388545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7626324892044067},{"id":"https://openalex.org/keywords/attractor","display_name":"Attractor","score":0.6371366381645203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5962246656417847},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4981117248535156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4934493601322174},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4840628206729889},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.47818973660469055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4760727286338806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44186609983444214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4372240900993347},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.42858579754829407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3887787163257599},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07437250018119812}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7626324892044067},{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.6371366381645203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5962246656417847},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4981117248535156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4934493601322174},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4840628206729889},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.47818973660469055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4760727286338806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44186609983444214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4372240900993347},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.42858579754829407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3887787163257599},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07437250018119812},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-48506-5_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-48506-5_19","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-48506-5_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-48506-5_19","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1508392536","https://openalex.org/W1968164759","https://openalex.org/W1995132808","https://openalex.org/W2029492599","https://openalex.org/W2043694524","https://openalex.org/W2052055672","https://openalex.org/W2053186076","https://openalex.org/W2056594786","https://openalex.org/W2063573452","https://openalex.org/W2078841894","https://openalex.org/W2093886880","https://openalex.org/W2119481995","https://openalex.org/W2128084896","https://openalex.org/W2165443127"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W2960434112","https://openalex.org/W1985844960"],"abstract_inverted_index":{"An":[0],"artificial":[1],"neural":[2,101],"network":[3,102],"is":[4,69,127,142],"modeled":[5],"by":[6,24],"weighting":[7,22,43,50],"between":[8,33,38,85],"different":[9],"neurons":[10,54,80,87],"to":[11,65,81,130],"form":[12],"synaptic":[13],"connections.":[14],"The":[15,93],"nonlinear":[16,108],"line":[17],"attractor":[18],"(NLA)":[19],"models":[20],"the":[21,36,53,66,73,78,83,86,90,100,113,116,119,132,139,145,155,159],"architecture":[23],"a":[25,48,107],"polynomial":[26,94],"weight":[27,82],"set,":[28],"which":[29,111],"provides":[30,150],"stronger":[31],"connections":[32,37,84],"neurons.":[34],"With":[35],"neurons,":[39,67],"we":[40],"desired":[41],"neuron":[42],"based":[44],"on":[45],"proximity":[46,64],"using":[47,63,106],"Gaussian":[49,122],"strategy":[51],"of":[52,62,115],"that":[55,71,96,144],"should":[56],"reduce":[57],"computational":[58],"times":[59],"significantly.":[60],"Instead":[61],"it":[68,141],"found":[70,75],"utilizing":[72],"error":[74],"from":[76],"estimating":[77],"output":[79],"would":[88],"provide":[89],"best":[91],"results.":[92],"weights":[95,120],"are":[97,121],"trained":[98],"into":[99],"will":[103],"be":[104],"reduced":[105],"dimensionality":[109],"reduction":[110],"preserves":[112],"locality":[114],"weights,":[117],"since":[118],"weighted.":[123],"A":[124],"distance":[125],"measure":[126],"then":[128],"used":[129],"compare":[131],"test":[133],"and":[134,158],"training":[135],"data.":[136],"From":[137],"testing":[138],"algorithm,":[140],"observed":[143],"proposed":[146],"weighted":[147],"NLA":[148,161],"algorithm":[149,157],"better":[151],"recognition":[152],"than":[153],"both":[154],"GNLA":[156],"original":[160],"algorithm.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
