{"id":"https://openalex.org/W2604234159","doi":"https://doi.org/10.3233/978-1-61499-619-4-243","title":"Construction of Sparse Single Layer Feedforward Networks with Better Generalization Performance and Its Application to Hand Written Recognition Tasks","display_name":"Construction of Sparse Single Layer Feedforward Networks with Better Generalization Performance and Its Application to Hand Written Recognition Tasks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2604234159","doi":"https://doi.org/10.3233/978-1-61499-619-4-243","mag":"2604234159"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-619-4-243","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-619-4-243","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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":null,"display_name":"Shen Feng-Shan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen Feng-Shan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328723","display_name":"Liming Wang","orcid":"https://orcid.org/0000-0002-4178-3537"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Li-Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079283543","display_name":"Zhuo Zhang","orcid":"https://orcid.org/0000-0001-5366-2508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang Zhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102366295","display_name":"Yingjie Han","orcid":"https://orcid.org/0000-0002-8613-8996"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Ying-Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.2349004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.988099992275238,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.988099992275238,"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"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9789999723434448,"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/generalization","display_name":"Generalization","score":0.7671936750411987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530017852783203},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6188845634460449},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4702379107475281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42579036951065063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4174043536186218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17039892077445984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06840437650680542},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06122124195098877}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7671936750411987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530017852783203},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6188845634460449},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4702379107475281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42579036951065063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4174043536186218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17039892077445984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06840437650680542},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06122124195098877},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","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":2,"locations":[{"id":"doi:10.3233/978-1-61499-619-4-243","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-619-4-243","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2604234159","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/fsdm/fsdm2015.html#ShenWZH15","pdf_url":null,"source":{"id":"https://openalex.org/S4306510962","display_name":"FSDM","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"FSDM","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W1963486701","https://openalex.org/W2312483540","https://openalex.org/W4249477090","https://openalex.org/W191745111","https://openalex.org/W1522083559","https://openalex.org/W2007570603","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"A":[0],"random":[1],"vector":[2],"functional-link":[3],"(RVFL)":[4],"net":[5],"(also":[6],"called":[7],"Extreme":[8],"Learning":[9],"Machine,":[10],"ELM)":[11],"is":[12,63,68,83,94],"a":[13,42,74],"fast":[14],"learning":[15],"algorithm":[16],"using":[17],"single":[18,44],"hidden":[19,31,60,80,120,131],"layer":[20,32,45,61,81,121,132],"feedforward":[21,46],"neural":[22],"networks":[23],"(SLFNs).":[24],"However,":[25],"RVFL/ELM":[26,127],"usually":[27],"needs":[28],"large":[29],"scale":[30],"nodes":[33,62,82,122],"and":[34,108],"requires":[35],"many":[36],"memory":[37],"resources.":[38],"This":[39],"paper":[40],"proposes":[41],"sparse":[43],"network":[47],"(SSLFN)":[48],"with":[49,118,128],"better":[50],"generalization":[51,101],"performance":[52,115],"for":[53],"multi-classification.":[54],"In":[55],"SSLFNs,":[56],"the":[57,71,77,89,113],"number":[58,78],"of":[59,79,116,126,130],"not":[64],"randomly":[65],"set,":[66],"but":[67],"related":[69],"to":[70,86,98],"classes.":[72],"For":[73],"k-class":[75],"problem,":[76],"simply":[84],"set":[85],"k.":[87],"Then,":[88],"function":[90],"at":[91],"each":[92],"node":[93],"optimized":[95],"so":[96],"as":[97],"improve":[99],"its":[100],"performance.":[102],"Experimental":[103],"results":[104],"on":[105],"HCL2000,":[106],"MNIST":[107],"USPS":[109],"benchmark":[110],"datasets":[111],"show":[112],"classification":[114],"SSLFNs":[117],"10":[119],"has":[123],"outperformed":[124],"that":[125],"thousands":[129],"nodes.":[133]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
