{"id":"https://openalex.org/W2085267375","doi":"https://doi.org/10.1109/cisim.2010.5643630","title":"Financial forecasting using generalized neural method","display_name":"Financial forecasting using generalized neural method","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2085267375","doi":"https://doi.org/10.1109/cisim.2010.5643630","mag":"2085267375"},"language":"en","primary_location":{"id":"doi:10.1109/cisim.2010.5643630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisim.2010.5643630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM)","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/A5038414356","display_name":"Sanjeev Kumar","orcid":"https://orcid.org/0000-0002-9553-0068"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sanjeev Kumar","raw_affiliation_strings":["Dayalbagh Educational Institute (Deemed University), Agra, India","Dayalbagh Educational Institute, Agra, India"],"affiliations":[{"raw_affiliation_string":"Dayalbagh Educational Institute (Deemed University), Agra, India","institution_ids":["https://openalex.org/I178254495"]},{"raw_affiliation_string":"Dayalbagh Educational Institute, Agra, India","institution_ids":["https://openalex.org/I178254495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033453212","display_name":"D. K. Chaturvedi","orcid":"https://orcid.org/0000-0002-4837-2570"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. K. Chaturvedi","raw_affiliation_strings":["Dayalbagh Educational Institute (Deemed University), Agra, India","Dayalbagh Educational Institute, Agra, India"],"affiliations":[{"raw_affiliation_string":"Dayalbagh Educational Institute (Deemed University), Agra, India","institution_ids":["https://openalex.org/I178254495"]},{"raw_affiliation_string":"Dayalbagh Educational Institute, Agra, India","institution_ids":["https://openalex.org/I178254495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038414356"],"corresponding_institution_ids":["https://openalex.org/I178254495"],"apc_list":null,"apc_paid":null,"fwci":0.7821,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77429056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"387","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9954000115394592,"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":0.9954000115394592,"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/T10320","display_name":"Neural Networks and Applications","score":0.9914000034332275,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.8113639950752258},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7799921035766602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675507426261902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771350860595703},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5196838974952698},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4871384799480438},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42071253061294556},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4075431823730469},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4043089747428894},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4038570523262024}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.8113639950752258},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7799921035766602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675507426261902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771350860595703},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5196838974952698},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4871384799480438},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42071253061294556},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4075431823730469},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4043089747428894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4038570523262024},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisim.2010.5643630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisim.2010.5643630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM)","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":26,"referenced_works":["https://openalex.org/W104562844","https://openalex.org/W118179567","https://openalex.org/W1511818303","https://openalex.org/W1544364512","https://openalex.org/W1600039016","https://openalex.org/W1728216532","https://openalex.org/W1773018113","https://openalex.org/W1994856937","https://openalex.org/W2017441516","https://openalex.org/W2036980390","https://openalex.org/W2085332592","https://openalex.org/W2116424792","https://openalex.org/W2120046447","https://openalex.org/W2124906995","https://openalex.org/W2128159432","https://openalex.org/W2137983211","https://openalex.org/W2153223800","https://openalex.org/W2159827486","https://openalex.org/W2169094427","https://openalex.org/W2171283356","https://openalex.org/W2533443122","https://openalex.org/W4232817620","https://openalex.org/W6604245155","https://openalex.org/W6630390412","https://openalex.org/W6682755004","https://openalex.org/W6684895168"],"related_works":["https://openalex.org/W2785395359","https://openalex.org/W1549951490","https://openalex.org/W2247295643","https://openalex.org/W2111426611","https://openalex.org/W1966629635","https://openalex.org/W3159983598","https://openalex.org/W2357953609","https://openalex.org/W2367175432","https://openalex.org/W2374727787","https://openalex.org/W2288384671"],"abstract_inverted_index":{"It":[0],"is":[1,63,94],"essential":[2],"to":[3,101],"estimate":[4],"the":[5,9,56,76],"financial":[6,37,105],"index":[7],"for":[8,45],"national":[10],"welfare":[11],"and":[12,30,67],"people's":[13],"livelihood.":[14],"In":[15],"this":[16,92],"paper,":[17],"we":[18],"present":[19],"an":[20],"artificial":[21],"neural":[22,32,40,68],"network":[23,33,69],"method,":[24],"adaptive":[25,71],"neuro":[26,59],"fuzzy":[27,60,66],"inference":[28,61],"system":[29,62],"generalized":[31,80],"method":[34,93],"of":[35,65,75,78,91,98],"forecasting":[36],"index.":[38],"Artificial":[39],"networks":[41],"can":[42,53],"be":[43],"used":[44],"predicting":[46],"nonlinear,":[47],"dynamic":[48],"systems":[49],"through":[50],"learning,":[51],"which":[52],"easily":[54],"accommodate":[55],"nonlinearities.":[57],"Adaptive":[58],"hybridization":[64],"with":[70],"nature.":[72],"Taking":[73],"advantage":[74],"characteristics":[77],"a":[79,102],"neuron":[81],"(GN),":[82],"that":[83],"requires":[84],"much":[85],"smaller":[86],"training":[87],"data.":[88,107],"The":[89],"feasibility":[90],"discussed":[95],"by":[96],"means":[97],"its":[99],"application":[100],"twenty":[103],"years":[104],"statistics":[106]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
