{"id":"https://openalex.org/W2140018844","doi":"https://doi.org/10.1109/ijcnn.2008.4634364","title":"Modular neural networks for estimating odor concentrations","display_name":"Modular neural networks for estimating odor concentrations","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2140018844","doi":"https://doi.org/10.1109/ijcnn.2008.4634364","mag":"2140018844"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5007052738","display_name":"Daqi Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gao Daqi","raw_affiliation_strings":["Department of Computer Science, East China University of Science & Technology, Shanghai, China","Dept. of Comput. Sci., East China Univ. of Sci. & Technol., Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China University of Science & Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Dept. of Comput. Sci., East China Univ. of Sci. & Technol., Shanghai","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113789890","display_name":"Zeping Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zeping","raw_affiliation_strings":["Department of Computer Science, East China University of Science & Technology, Shanghai, China","Dept. of Comput. Sci., East China Univ. of Sci. & Technol., Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China University of Science & Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Dept. of Comput. Sci., East China Univ. of Sci. & Technol., Shanghai","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102159864","display_name":"Jianli Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Jianli","raw_affiliation_strings":["Department of Computer Science, East China University of Science & Technology, Shanghai, China","Dept. of Comput. Sci., East China Univ. of Sci. & Technol., Shanghai"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China University of Science & Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Dept. of Comput. Sci., East China Univ. of Sci. & Technol., Shanghai","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007052738"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.2422,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63036281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3523","issue":null,"first_page":"3941","last_page":"3948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/odor","display_name":"Odor","score":0.8460599780082703},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7324434518814087},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6330020427703857},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6225767731666565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6058616638183594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6051331162452698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5886335372924805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5338044762611389},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.49051564931869507},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.481627881526947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3915902078151703},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.059379130601882935}],"concepts":[{"id":"https://openalex.org/C2778916471","wikidata":"https://www.wikidata.org/wiki/Q485537","display_name":"Odor","level":2,"score":0.8460599780082703},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7324434518814087},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6330020427703857},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6225767731666565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6058616638183594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6051331162452698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5886335372924805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5338044762611389},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.49051564931869507},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.481627881526947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3915902078151703},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.059379130601882935},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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":25,"referenced_works":["https://openalex.org/W1546807126","https://openalex.org/W1554663460","https://openalex.org/W1578706321","https://openalex.org/W1971845710","https://openalex.org/W1981549269","https://openalex.org/W2006463578","https://openalex.org/W2023226576","https://openalex.org/W2023639956","https://openalex.org/W2063867591","https://openalex.org/W2068670002","https://openalex.org/W2101349570","https://openalex.org/W2134913503","https://openalex.org/W2140842192","https://openalex.org/W2142402086","https://openalex.org/W2146615496","https://openalex.org/W2156909104","https://openalex.org/W2165313956","https://openalex.org/W2170925765","https://openalex.org/W2172000360","https://openalex.org/W2799061466","https://openalex.org/W4230674625","https://openalex.org/W4244494905","https://openalex.org/W4388155462","https://openalex.org/W6633075811","https://openalex.org/W6683581212"],"related_works":["https://openalex.org/W2085677935","https://openalex.org/W2389617532","https://openalex.org/W2184842172","https://openalex.org/W2057749067","https://openalex.org/W3155832235","https://openalex.org/W2095641227","https://openalex.org/W4968207","https://openalex.org/W2043360411","https://openalex.org/W2533244814","https://openalex.org/W2065370636"],"abstract_inverted_index":{"The":[0,90,165],"concentration":[1,155],"estimation":[2],"for":[3,58,177],"multiple":[4,12,18,24],"kinds":[5,54,179],"of":[6,37,44,50,55,92,105,121,128,139,167,180],"odors":[7],"is":[8,41,95,134,156,172],"regarded":[9],"first":[10,64,150],"as":[11,17,183,185],"two-class":[13,75],"classification":[14],"and":[15,21,125,152],"then":[16,153],"approximation":[19],"problems,":[20],"solved":[22],"by":[23,141,158,174],"single-output":[25],"multi-layer":[26],"perceptrons":[27],"(MLPs)":[28],"lined":[29],"up":[30],"in":[31,39,62,97,111,148,161],"two":[32],"parallel":[33],"rows.":[34],"A":[35,132],"pair":[36],"MLPs":[38,51],"cascade":[40],"on":[42],"behalf":[43],"a":[45,137],"specified":[46],"odor.":[47,108,131],"n":[48,53],"pairs":[49],"represent":[52],"odors,":[56],"one":[57],"one.":[59],"An":[60,109],"MLP":[61,94,110,143,160,170],"the":[63,71,74,81,84,103,106,112,116,119,122,126,129,142,145,149,162,168,175],"row":[65,114],"separates":[66],"its":[67,154],"represented":[68,107,130],"odor":[69,140],"from":[70,83],"others.":[72],"Because":[73],"training":[76],"subsets":[77],"are":[78,87],"often":[79],"unbalanced,":[80],"samples":[82],"minority":[85],"sides":[86],"virtually":[88],"reinforced.":[89],"generalization":[91],"an":[93],"limited":[96],"local":[98],"regions":[99],"with":[100,144],"respect":[101],"to":[102,136],"distribution":[104],"second":[113],"approximates":[115],"relationship":[117],"between":[118],"responses":[120],"sensor":[123],"array":[124],"concentrations":[127],"sample":[133],"assigned":[135],"kind":[138],"maximum":[146],"output":[147],"row,":[151],"estimated":[157],"another":[159],"corresponding":[163],"pair.":[164],"effectiveness":[166],"proposed":[169],"models":[171],"verified":[173],"experiments":[176],"4":[178],"fragrant":[181],"materials":[182],"well":[184],"their":[186],"extended":[187],"dataset.":[188]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}