{"id":"https://openalex.org/W4405796060","doi":"https://doi.org/10.1007/979-8-8688-1035-0_9","title":"Recurrent Neural Network","display_name":"Recurrent Neural Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405796060","doi":"https://doi.org/10.1007/979-8-8688-1035-0_9"},"language":"en","primary_location":{"id":"doi:10.1007/979-8-8688-1035-0_9","doi":"https://doi.org/10.1007/979-8-8688-1035-0_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/979-8-8688-1035-0_9","pdf_url":null,"source":{"id":"https://openalex.org/S4306462844","display_name":"Apress eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hands-on Deep Learning","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4405795986","display_name":"Hands-on Deep Learning"},"type":"book-chapter","is_traditional":true,"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/A5079321533","display_name":"Harsh Bhasin","orcid":"https://orcid.org/0000-0001-8151-0501","observed_orcids":["https://orcid.org/0000-0001-8151-0501"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Harsh Bhasin","raw_affiliation_strings":["Faridabad, Haryana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faridabad, Haryana, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5079321533"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"255"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9603999853134155,"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/T10320","display_name":"Neural Networks and Applications","score":0.9603999853134155,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.007600000128149986,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.006099999882280827,"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/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.996999979019165},{"id":"https://openalex.org/keywords/sequence-prediction","display_name":"sequence prediction","score":0.6790000200271606},{"id":"https://openalex.org/keywords/time-series","display_name":"time series","score":0.6299999952316284},{"id":"https://openalex.org/keywords/temporal-data","display_name":"temporal data","score":0.3100000023841858}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49895429611206055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4717123210430145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26168161630630493}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/979-8-8688-1035-0_9","doi":"https://doi.org/10.1007/979-8-8688-1035-0_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/979-8-8688-1035-0_9","pdf_url":null,"source":{"id":"https://openalex.org/S4306462844","display_name":"Apress eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hands-on Deep Learning","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2549288317","https://openalex.org/W138516515","https://openalex.org/W7156227753","https://openalex.org/W2958243355","https://openalex.org/W2975131928","https://openalex.org/W2728095687","https://openalex.org/W3172457550","https://openalex.org/W7108210690","https://openalex.org/W2398295351","https://openalex.org/W97376515"],"abstract_inverted_index":{"Consider":[0],"a":[1,32,69,78],"person":[2,46],"named":[3],"Nishant,":[4],"about":[5],"to":[6,8,56],"go":[7],"meet":[9],"someone":[10],"important.":[11],"Just":[12],"by":[13],"looking":[14],"at":[15,35,60,83],"the":[16,42,48,58,61,81],"image":[17],"in":[18,47],"Figure":[19],"9-1,":[20],"can":[21],"you":[22,39,54],"guess":[23,34,57],"where":[24],"will":[25,67],"he":[26],"head?":[27],"Your":[28,72],"answer":[29,73],"would":[30],"be":[31],"random":[33],"best.":[36],"Now":[37],"if":[38],"are":[40],"given":[41],"position":[43,59,82],"of":[44],"this":[45],"past":[49],"five":[50],"time":[51,63,85],"stamps":[52],"and":[53],"need":[55],"next":[62],"stamp,":[64],"your":[65],"work":[66],"become":[68],"little":[70],"easier.":[71],"is":[74],"now":[75],"based":[76],"on":[77],"sequence":[79],"depicting":[80],"various":[84],"intervals.":[86]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2024-12-26T00:00:00"}