{"id":"https://openalex.org/W4360605210","doi":"https://doi.org/10.1109/icaiic57133.2023.10067086","title":"Exploring Normalization Techniques in Neural Networks for Bitcoin Candlestick Price Prediction","display_name":"Exploring Normalization Techniques in Neural Networks for Bitcoin Candlestick Price Prediction","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605210","doi":"https://doi.org/10.1109/icaiic57133.2023.10067086"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic57133.2023.10067086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic57133.2023.10067086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5035247195","display_name":"Sutiwat Simtharakao","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Sutiwat Simtharakao","raw_affiliation_strings":["Chulalongkorn University,Faculty of Engineering,Department of Industrial Engineering,Bangkok,Thailand","Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Engineering,Department of Industrial Engineering,Bangkok,Thailand","institution_ids":["https://openalex.org/I158708052"]},{"raw_affiliation_string":"Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014144333","display_name":"Daricha Sutivong","orcid":"https://orcid.org/0009-0000-8140-8224"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Daricha Sutivong","raw_affiliation_strings":["Chulalongkorn University,Faculty of Engineering,Department of Industrial Engineering,Bangkok,Thailand","Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Engineering,Department of Industrial Engineering,Bangkok,Thailand","institution_ids":["https://openalex.org/I158708052"]},{"raw_affiliation_string":"Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035247195"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.2547,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53870675,"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":"483","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9886000156402588,"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/normalization","display_name":"Normalization (sociology)","score":0.9313822984695435},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.661088764667511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161543726921082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.522169828414917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4919755160808563},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4745396375656128},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43121784925460815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34220457077026367},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27193886041641235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20657578110694885},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.10338476300239563}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.9313822984695435},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.661088764667511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161543726921082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.522169828414917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4919755160808563},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4745396375656128},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43121784925460815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34220457077026367},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27193886041641235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20657578110694885},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.10338476300239563},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic57133.2023.10067086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic57133.2023.10067086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/W2129535614","https://openalex.org/W2152098675","https://openalex.org/W2586112617","https://openalex.org/W2732971366","https://openalex.org/W2949886060","https://openalex.org/W3006674052","https://openalex.org/W3120784010","https://openalex.org/W3122765894","https://openalex.org/W3159982581","https://openalex.org/W3163083831","https://openalex.org/W3202074074","https://openalex.org/W4214879862","https://openalex.org/W4240507535","https://openalex.org/W4293240949","https://openalex.org/W6792237484"],"related_works":["https://openalex.org/W2106570241","https://openalex.org/W2000311527","https://openalex.org/W2767142087","https://openalex.org/W2356691358","https://openalex.org/W2109246626","https://openalex.org/W3144654663","https://openalex.org/W1983035395","https://openalex.org/W2185414581","https://openalex.org/W2901482286","https://openalex.org/W2182399080"],"abstract_inverted_index":{"Bitcoin":[0,11,64],"is":[1],"a":[2,6],"high-risk":[3],"asset":[4],"with":[5,54,140],"potentially":[7],"high":[8],"return.":[9],"Predicting":[10],"candlestick,":[12],"i.e.,":[13],"open,":[14],"high,":[15],"low,":[16],"and":[17,76,90,100,138,159],"close":[18],"(OHLC)":[19],"prices,":[20],"can":[21],"help":[22],"investors":[23],"make":[24],"trading":[25],"decisions.":[26],"This":[27],"paper":[28],"aims":[29],"to":[30,39,112],"explore":[31],"various":[32],"data":[33],"normalization":[34,50,58,83,126,132,154],"techniques":[35,51,59,84,127,133],"in":[36,134],"neural":[37,69],"networks":[38],"enhance":[40],"candlestick":[41],"price":[42],"prediction.":[43],"In":[44],"this":[45],"study,":[46],"the":[47,55,62,87,91,114,123,129,141,145,149],"sliding":[48,92,124,150],"window":[49,93,125,151],"were":[52,110],"compared":[53],"whole":[56,88,130],"set":[57,89,94,131],"for":[60,85],"forecasting":[61],"daily":[63],"OHLC":[65,105,117],"prices":[66,106],"using":[67,148],"two":[68],"network":[70],"algorithms:":[71],"Long":[72],"Short-Term":[73],"Memory":[74],"(LSTM)":[75],"Gated":[77],"Recurrent":[78],"Unit":[79],"(GRU).":[80],"The":[81,119],"investigated":[82],"both":[86],"included":[95],"z-score":[96],"normalization,":[97,99],"min-max":[98],"relative":[101,152],"change":[102,153],"normalization.":[103],"Historical":[104],"over":[107],"several":[108],"days":[109],"used":[111],"predict":[113],"next":[115],"day's":[116],"prices.":[118],"results":[120],"show":[121],"that":[122],"outperformed":[128],"terms":[135],"of":[136,157,161],"RMSE":[137,160],"MAPE":[139,156],"best":[142],"technique":[143],"being":[144],"GRU":[146],"algorithm":[147],"achieving":[155],"2.25%":[158],"870.52.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
