{"id":"https://openalex.org/W2945600773","doi":"https://doi.org/10.1145/3319921.3319953","title":"Application Research of Neural Network in River Elevation Map","display_name":"Application Research of Neural Network in River Elevation Map","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2945600773","doi":"https://doi.org/10.1145/3319921.3319953","mag":"2945600773"},"language":"en","primary_location":{"id":"doi:10.1145/3319921.3319953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319921.3319953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Innovation in Artificial 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/A5102202984","display_name":"Peng Zhong-bo","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhongbo","raw_affiliation_strings":["Chongqing Jiaotong University, College of Shipping and Naval Engineering, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Jiaotong University, College of Shipping and Naval Engineering, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067708264","display_name":"Lang Shicheng","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Shicheng","raw_affiliation_strings":["Chongqing Jiaotong University, School of Mechatronical Engineering, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Jiaotong University, School of Mechatronical Engineering, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072170851","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0001-6811-0183"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Yang","raw_affiliation_strings":["Chongqing Jiaotong University, College of Shipping and Naval Engineering, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Jiaotong University, College of Shipping and Naval Engineering, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102202984"],"corresponding_institution_ids":["https://openalex.org/I63371133"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54637929,"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":"28","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9807000160217285,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9807000160217285,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9690999984741211,"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"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9508000016212463,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7358834147453308},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.6636693477630615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411277055740356},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5583918690681458},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4663481116294861},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46563804149627686},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.4619809091091156},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44198158383369446},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4278864562511444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3994423449039459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2573689818382263},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1207338273525238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08149668574333191}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7358834147453308},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.6636693477630615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411277055740356},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5583918690681458},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4663481116294861},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46563804149627686},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.4619809091091156},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44198158383369446},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4278864562511444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3994423449039459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2573689818382263},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1207338273525238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08149668574333191},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319921.3319953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319921.3319953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Innovation in Artificial 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":7,"referenced_works":["https://openalex.org/W1825077972","https://openalex.org/W2018179805","https://openalex.org/W2037999378","https://openalex.org/W2049717914","https://openalex.org/W2233053328","https://openalex.org/W2348228442","https://openalex.org/W2889140870"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2393731464","https://openalex.org/W2394422213"],"abstract_inverted_index":{"Based":[0],"on":[1,51,58,102],"the":[2,18,21,25,31,38,45,52,60,67,74,79,83,96,103,107],"actual":[3],"engineering":[4],"data,":[5],"BP(Back":[6],"Propagation)":[7],"neural":[8,12,61],"network":[9,13,48,62,71,84],"and":[10],"RBF":[11],"were":[14],"used":[15],"to":[16,73],"simulate.Comparing":[17],"accuracy":[19,54,81,109],"of":[20,33,47,82,95,106],"two":[22,35,111],"networks":[23,36,112],"in":[24,37,110],"inland":[26],"river":[27,39],"channel":[28],"elevation":[29,40],"fitting,":[30],"applicability":[32],"these":[34],"was":[41],"analyzed.":[42],"In":[43],"addition,":[44],"influence":[46],"structure":[49],"parameters":[50],"fitting":[53,80,108,116],"is":[55,89],"discussed":[56],"based":[57],"establishing":[59],"with":[63,85],"high":[64,92],"adaptability.":[65],"Because":[66],"RBF(Radical":[68],"Basis":[69],"Function)":[70],"belongs":[72],"local":[75],"sensing":[76],"field":[77],"network,":[78],"huge":[86],"input":[87],"data":[88],"not":[90],"as":[91,93],"that":[94],"BP":[97],"network.":[98],"This":[99],"paper":[100],"focuses":[101],"impact":[104],"factors":[105],"through":[113],"comparing":[114],"their":[115],"range.":[117]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}