{"id":"https://openalex.org/W4394864437","doi":"https://doi.org/10.1145/3650215.3650228","title":"Exploration of House Price Prediction Based on ICS-BP Neural Network","display_name":"Exploration of House Price Prediction Based on ICS-BP Neural Network","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394864437","doi":"https://doi.org/10.1145/3650215.3650228"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","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/A5102915501","display_name":"Dong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149708","display_name":"Zhejiang Fashion Institute of Technology","ror":"https://ror.org/05ajbr617","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149708"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Luo","raw_affiliation_strings":["Shaanxi Fashion Engineering University, China"],"raw_orcid":"https://orcid.org/0009-0003-7659-5661","affiliations":[{"raw_affiliation_string":"Shaanxi Fashion Engineering University, China","institution_ids":["https://openalex.org/I4210149708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102915501"],"corresponding_institution_ids":["https://openalex.org/I4210149708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27054591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9010000228881836,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/house-price","display_name":"House price","score":0.7503384351730347},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.6998332738876343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6921917200088501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6667053699493408},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5318089723587036},{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.468262255191803},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.43347975611686707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3984299898147583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3973568379878998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3864651620388031},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37789079546928406},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35534265637397766},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.26674193143844604},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.16714084148406982},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14256185293197632}],"concepts":[{"id":"https://openalex.org/C2992949716","wikidata":"https://www.wikidata.org/wiki/Q512599","display_name":"House price","level":2,"score":0.7503384351730347},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.6998332738876343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6921917200088501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6667053699493408},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5318089723587036},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.468262255191803},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.43347975611686707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3984299898147583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3973568379878998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3864651620388031},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37789079546928406},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35534265637397766},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.26674193143844604},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.16714084148406982},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14256185293197632},{"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:10.1145/3650215.3650228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","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":15,"referenced_works":["https://openalex.org/W2990479123","https://openalex.org/W3034460605","https://openalex.org/W3061100668","https://openalex.org/W3083077818","https://openalex.org/W3088926010","https://openalex.org/W3135320274","https://openalex.org/W3160614929","https://openalex.org/W3180686387","https://openalex.org/W3187425334","https://openalex.org/W3187795624","https://openalex.org/W3215894900","https://openalex.org/W3217697065","https://openalex.org/W4205687463","https://openalex.org/W4210678178","https://openalex.org/W4280517373"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Since":[0],"the":[1,23,28,41,44,51,61,64,95,104,110,120,126,129,148,162,167],"real":[2,29,168],"estate":[3,30,169],"market":[4],"is":[5,18,37,82,143],"a":[6,67],"complex,":[7],"non-linear":[8],"system":[9],"with":[10,40],"uncertainty":[11],"and":[12,25,50,93,109,118,158,164],"high":[13],"complexity,":[14],"house":[15,33,47,54,90,98,133],"price":[16,34,48,55,91,99,134],"forecasting":[17],"an":[19,138,156],"important":[20],"issue":[21],"in":[22],"analysis":[24,163],"management":[26,165],"of":[27,43,53,128,132,140,150,166],"market.":[31,170],"In":[32,57],"forecasting,":[35],"it":[36],"mainly":[38],"faced":[39],"complexity":[42],"relationship":[45],"between":[46],"factors":[49,100],"unsteadiness":[52],"data.":[56,121],"order":[58],"to":[59,84,147],"solve":[60],"above":[62],"problems,":[63],"article":[65],"adopts":[66],"BP":[68,105],"(Back":[69],"Propaganda)":[70],"neural":[71,106],"network":[72,107],"model":[73],"based":[74],"on":[75,89],"ICS":[76,81],"(Improved":[77],"Cuckoo":[78],"Search).":[79],"First,":[80],"used":[83],"perform":[85],"dimensionality":[86,96],"reduction":[87,97],"processing":[88],"factors,":[92],"then":[94],"are":[101,114],"input":[102],"into":[103],"model,":[108],"final":[111],"prediction":[112,131,149],"results":[113,123],"obtained":[115],"by":[116],"training":[117],"predicting":[119],"The":[122],"show":[124],"that":[125],"accuracy":[127],"model's":[130],"data":[135],"can":[136],"reach":[137],"average":[139],"92.54%,":[141],"which":[142],"not":[144],"only":[145],"applicable":[146],"actual":[151],"data,":[152],"but":[153],"also":[154],"provides":[155],"effective":[157],"feasible":[159],"method":[160],"for":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}