{"id":"https://openalex.org/W3080361145","doi":"https://doi.org/10.3233/978-1-61499-785-6-490","title":"Modified Cuckoo Search Based Neural Networks for Forest Types Classification","display_name":"Modified Cuckoo Search Based Neural Networks for Forest Types Classification","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W3080361145","doi":"https://doi.org/10.3233/978-1-61499-785-6-490","mag":"3080361145"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-785-6-490","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-785-6-490","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":"https://openalex.org/A5029309294","display_name":"Sankhadeep Chatterjee","orcid":"https://orcid.org/0000-0002-3930-4699"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Chatterjee Sankhadeep","raw_affiliation_strings":["University of Calcutta,"],"affiliations":[{"raw_affiliation_string":"University of Calcutta,","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000975435","display_name":"Nilanjan Dey","orcid":"https://orcid.org/0000-0001-8437-498X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dey Nilanjan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Sen Soumya","orcid":null},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sen Soumya","raw_affiliation_strings":["University of Calcutta,"],"affiliations":[{"raw_affiliation_string":"University of Calcutta,","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068271733","display_name":"Amira S. Ashour","orcid":"https://orcid.org/0000-0003-3217-6185"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashour Amira S.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Fong Simon James","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fong Simon James","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035130915","display_name":"Fuqian Shi","orcid":"https://orcid.org/0000-0003-4245-5727"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi Fuqian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029309294"],"corresponding_institution_ids":["https://openalex.org/I106542073"],"apc_list":null,"apc_paid":null,"fwci":1.233,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82643678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.5864999890327454,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.5864999890327454,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.5625,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.5218999981880188,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.6658395528793335},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6158802509307861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4772324860095978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3769899606704712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3033636808395386}],"concepts":[{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.6658395528793335},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6158802509307861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4772324860095978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3769899606704712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3033636808395386},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-785-6-490","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-785-6-490","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Pixel":[0],"classification":[1,61],"in":[2,11,59,75,127],"land":[3],"scape":[4],"images":[5,13],"is":[6,89,112],"a":[7,79,151],"challenging":[8],"process":[9,62],"especially":[10],"forest":[12,51],"due":[14],"to":[15,24,38,146,150],"the":[16,40,60,76,138,141,147],"similar":[17],"spectral":[18],"features":[19],"of":[20,104,129,140],"pixels":[21],"situated":[22],"close":[23],"each":[25],"other.":[26],"Previously,":[27],"meta-heuristic":[28],"coupled":[29],"artificial":[30],"neural":[31,68],"network":[32,69],"(ANN)":[33],"models":[34],"have":[35,55],"been":[36,99],"used":[37],"classify":[39],"two-different":[41],"species,":[42],"namely":[43],"Japanese":[44,46],"Cedar,":[45],"Cypress":[47],"and":[48,120],"one":[49],"mixed":[50],"class.":[52],"Previous":[53],"attempts":[54],"shown":[56],"reasonable":[57],"improvement":[58],"using":[63,101,116],"genetic":[64],"algorithm":[65],"(GA)":[66],"supported":[67,84],"over":[70],"other":[71],"traditional":[72],"approaches.":[73],"Consequently,":[74],"current":[77],"work,":[78],"modified":[80,100],"Cuckoo":[81],"Search":[82],"(CS)":[83],"Neural":[85],"Network":[86],"(NN-MCS)":[87],"classifier":[88],"proposed.":[90],"The":[91,109,135],"lévy":[92],"flight":[93],"associated":[94],"with":[95,114,124],"cuckoo":[96],"search":[97],"has":[98],"McCulloch's":[102],"method":[103],"generating":[105],"stable":[106],"random":[107],"numbers.":[108],"proposed":[110],"approach":[111],"compared":[113,145],"GA-NN":[115],"single":[117],"objective":[118],"function":[119],"CS-NN":[121,148],"(ANN":[122],"trained":[123],"CS)":[125],"classifiers":[126],"terms":[128],"confusion":[130],"matrix":[131],"based":[132],"performance":[133],"metrics.":[134],"results":[136],"depicted":[137],"dominance":[139],"suggested":[142],"NN-MCS":[143],"model":[144,149],"greater":[152],"extent.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2020-09-01T00:00:00"}