{"id":"https://openalex.org/W2908244166","doi":"https://doi.org/10.47119/ijrp100161112018426","title":"Classification Analysis using Radial Basis Function Neural Network and Back Propagation Neural Network","display_name":"Classification Analysis using Radial Basis Function Neural Network and Back Propagation Neural Network","publication_year":2018,"publication_date":"2018-10-16","ids":{"openalex":"https://openalex.org/W2908244166","doi":"https://doi.org/10.47119/ijrp100161112018426","mag":"2908244166"},"language":"en","primary_location":{"id":"doi:10.47119/ijrp100161112018426","doi":"https://doi.org/10.47119/ijrp100161112018426","is_oa":true,"landing_page_url":"https://doi.org/10.47119/ijrp100161112018426","pdf_url":null,"source":{"id":"https://openalex.org/S4210238074","display_name":"International Journal of Research Publications","issn_l":"2708-3578","issn":["2708-3578"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Research Publications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.47119/ijrp100161112018426","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027030111","display_name":"Sabai Phyu","orcid":"https://orcid.org/0000-0003-1304-8479","observed_orcids":["https://orcid.org/0000-0003-1304-8479"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sabai Phyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5027030111"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"1","first_page":"7","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.98580002784729,"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":0.98580002784729,"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":0.007600000128149986,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.004999999888241291,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/radial-basis-function-neural-network","display_name":"radial basis function neural network","score":0.9079999923706055},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9599999785423279},{"id":"https://openalex.org/keywords/neural-network-classification","display_name":"neural network classification","score":0.9639999866485596},{"id":"https://openalex.org/keywords/neural-network-comparison","display_name":"neural network comparison","score":0.6650000214576721},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.7519999742507935},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"mean squared error","score":0.9470000267028809},{"id":"https://openalex.org/keywords/attribute-types","display_name":"attribute types","score":0.5659999847412109}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8313180208206177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7265720367431641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016966938972473},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.628038763999939},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.6129157543182373},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.6095897555351257},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.5802509784698486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5719617605209351},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4960263669490814},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.4513430595397949},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44488316774368286},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43036991357803345},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.4189787209033966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3322297930717468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1129114031791687},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.47119/ijrp100161112018426","doi":"https://doi.org/10.47119/ijrp100161112018426","is_oa":true,"landing_page_url":"https://doi.org/10.47119/ijrp100161112018426","pdf_url":null,"source":{"id":"https://openalex.org/S4210238074","display_name":"International Journal of Research Publications","issn_l":"2708-3578","issn":["2708-3578"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Research Publications","raw_type":"journal-article"},{"id":"mag:2908244166","doi":null,"is_oa":false,"landing_page_url":"https://ijrp.org/paper-detail/427","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":"doi:10.47119/ijrp100161112018426","doi":"https://doi.org/10.47119/ijrp100161112018426","is_oa":true,"landing_page_url":"https://doi.org/10.47119/ijrp100161112018426","pdf_url":null,"source":{"id":"https://openalex.org/S4210238074","display_name":"International Journal of Research Publications","issn_l":"2708-3578","issn":["2708-3578"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Research Publications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1517514261","https://openalex.org/W2229303709","https://openalex.org/W2945568950","https://openalex.org/W7101068323","https://openalex.org/W7223142626","https://openalex.org/W1540388171","https://openalex.org/W1576503988","https://openalex.org/W2284809974","https://openalex.org/W2530938806","https://openalex.org/W2056736190"],"abstract_inverted_index":{"In":[0],"the":[1,20,38,45,52,76,96,99],"age":[2],"of":[3,55,68,75,84,88,98,102,127],"digital":[4],"era,":[5],"machine":[6,21,144],"learning":[7,22,35,72,145],"is":[8,27,49,71,82],"much":[9],"more":[10],"influence":[11],"and":[12,34,60,73,109,117,125],"popular":[13,29],"rather":[14],"than":[15],"case":[16],"based":[17,119],"methods.":[18],"Among":[19],"research":[23],"area":[24],"neural":[25,46,69,103,113],"network":[26,47],"very":[28],"for":[30,58],"its":[31,61],"classification":[32,48],"accuracy":[33,124],"rate":[36],"on":[37,44,120],"complex":[39],"environment.":[40],"The":[41,64],"important":[42],"remark":[43],"to":[50],"use":[51],"big":[53],"volume":[54],"data":[56,62,77],"size":[57],"training":[59,74],"types.":[63,132],"fundamental":[65],"working":[66],"concept":[67],"networks":[70,114],"computing":[78,90],"system.":[79],"Neural":[80],"Network":[81],"composed":[83],"a":[85],"bulk":[86],"number":[87],"interconnected":[89],"elements.":[91],"This":[92],"paper":[93,139],"mentions":[94],"that":[95],"properties":[97],"two":[100],"type":[101],"networks:":[104],"Radial":[105],"Basis":[106],"Function":[107],"(RBF)":[108],"Back":[110],"Propagation":[111],"(BP)":[112],"are":[115,134,140],"analyzed":[116],"compared":[118],"mean":[121],"square":[122],"error,":[123],"nature":[126],"datasets":[128,136],"concerning":[129],"with":[130],"attribute":[131],"There":[133],"15":[135],"in":[137],"this":[138],"used":[141],"from":[142],"UCI":[143],"repository.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2019-01-11T00:00:00"}