{"id":"https://openalex.org/W796594434","doi":null,"title":"HPC strength prediction using Bayesian neural networks","display_name":"HPC strength prediction using Bayesian neural networks","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W796594434","mag":"796594434"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:5ff648efa7694c3a9cb598cf827c0300","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/5ff648efa7694c3a9cb598cf827c0300","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Assisted Methods in Engineering and Science, Vol 14, Iss 2 (2022)","raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["doaj"],"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/A5034369006","display_name":"Marek S\u0142o\u0144ski","orcid":"https://orcid.org/0000-0001-8888-9112","observed_orcids":["https://orcid.org/0000-0001-8888-9112"]},"institutions":[{"id":"https://openalex.org/I24881138","display_name":"Cracow University of Technology","ror":"https://ror.org/00pdej676","country_code":"PL","type":"education","lineage":["https://openalex.org/I24881138"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Marek S\u0142o\u0144ski","raw_affiliation_strings":["Cracow University of Technology, Institute for Computational Civil Engineering, ul. Warszawska 24, 31 -1 55 Krak\u00f3w, Poland"],"raw_orcid":"https://orcid.org/0000-0001-8888-9112","affiliations":[{"raw_affiliation_string":"Cracow University of Technology, Institute for Computational Civil Engineering, ul. Warszawska 24, 31 -1 55 Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I24881138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034369006"],"corresponding_institution_ids":["https://openalex.org/I24881138"],"apc_list":null,"apc_paid":null,"fwci":1.3437,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8390974,"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":"345","last_page":"352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10687","display_name":"Innovative concrete reinforcement materials","score":0.6596999764442444,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10687","display_name":"Innovative concrete reinforcement materials","score":0.6596999764442444,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11948","display_name":"Machine Learning in Materials Science","score":0.07119999825954437,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10479","display_name":"Structural Behavior of Reinforced Concrete","score":0.0697999969124794,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/high-performance-concrete","display_name":"high-performance concrete","score":1.0},{"id":"https://openalex.org/keywords/strength-prediction","display_name":"strength prediction","score":0.781000018119812},{"id":"https://openalex.org/keywords/bayesian-neural-networks","display_name":"Bayesian neural networks","score":0.996999979019165},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9959999918937683},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.7680000066757202},{"id":"https://openalex.org/keywords/likelihood-maximization","display_name":"likelihood maximization","score":0.8519999980926514},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"nonlinear regression","score":0.9110000133514404}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7315349578857422},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5927777886390686},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5202423334121704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.494153767824173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48616454005241394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4621013402938843}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:doaj.org/article:5ff648efa7694c3a9cb598cf827c0300","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/5ff648efa7694c3a9cb598cf827c0300","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Assisted Methods in Engineering and Science, Vol 14, Iss 2 (2022)","raw_type":"article"},{"id":"mag:796594434","doi":null,"is_oa":false,"landing_page_url":"https://www.infona.pl/resource/bwmeta1.element.baztech-article-BPB2-0026-0025","pdf_url":null,"source":{"id":"https://openalex.org/S2764722602","display_name":"Computer Assisted Mechanics and Engineering Sciences","issn_l":"1232-308X","issn":["1232-308X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Assisted Mechanics and Engineering Sciences","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W32248825","https://openalex.org/W635375399","https://openalex.org/W898634328","https://openalex.org/W983929812","https://openalex.org/W1116058302","https://openalex.org/W1544324307","https://openalex.org/W1554663460","https://openalex.org/W1567512734","https://openalex.org/W1663973292","https://openalex.org/W1978250103","https://openalex.org/W2040355924","https://openalex.org/W2070087434","https://openalex.org/W3140968660"],"related_works":["https://openalex.org/W2094825736","https://openalex.org/W4408525324","https://openalex.org/W2385597959","https://openalex.org/W4366245303","https://openalex.org/W6940158256","https://openalex.org/W4413243108","https://openalex.org/W7133545015","https://openalex.org/W4403871396","https://openalex.org/W4411632792","https://openalex.org/W2070087434"],"abstract_inverted_index":{"The":[0],"objective":[1],"of":[2,10,20,56],"this":[3],"paper":[4],"is":[5,31],"to":[6,36],"investigate":[7],"the":[8,44],"efficiency":[9],"nonlinear":[11],"Bayesian":[12,49,62],"regression":[13],"for":[14,40,64],"modelling":[15],"and":[16,38,48,53],"predicting":[17],"strength":[18],"properties":[19],"high-performance":[21],"concrete":[22],"(HPC).":[23],"A":[24],"multilayer":[25],"perceptron":[26],"neural":[27],"network":[28],"(MLP)":[29],"model":[30],"used.":[32],"Two":[33],"statistical":[34],"approaches":[35],"learning":[37],"prediction":[39],"MLP":[41,65],"based":[42],"on":[43],"likelihood":[45],"function":[46],"maximization":[47],"inference":[50],"are":[51],"applied":[52],"compared.":[54],"Results":[55],"experimental":[57],"data":[58],"sets":[59],"show":[60],"that":[61],"approach":[63],"offers":[66],"some":[67],"advantages":[68],"over":[69],"classical":[70],"one.":[71]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
