{"id":"https://openalex.org/W619643236","doi":null,"title":"Neural network based simulation of sea-state sequences","display_name":"Neural network based simulation of sea-state sequences","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W619643236","mag":"619643236"},"language":"en","primary_location":{"id":"pmh:oai:bura.brunel.ac.uk:2438/379","doi":null,"is_oa":true,"landing_page_url":"http://bura.brunel.ac.uk/handle/2438/379","pdf_url":"http://bura.brunel.ac.uk/handle/2438/379","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://bura.brunel.ac.uk/handle/2438/379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004783853","display_name":"Hamid Bazargan-Harandi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hamid Bazargan-Harandi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5004783853"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.8457000255584717,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.8457000255584717,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10647","display_name":"Coastal and Marine Dynamics","score":0.07259999960660934,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.025200000032782555,"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/sea-state-simulation","display_name":"sea state simulation","score":0.8659999966621399},{"id":"https://openalex.org/keywords/significant-wave-height","display_name":"significant wave height","score":0.8799999952316284},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9110000133514404},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"simulated annealing","score":0.9980000257492065},{"id":"https://openalex.org/keywords/wave-climate","display_name":"wave climate","score":0.5429999828338623},{"id":"https://openalex.org/keywords/ocean-wave-statistics","display_name":"ocean wave statistics","score":0.48500001430511475}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5161758065223694},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5056490898132324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4481312036514282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3346431851387024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13321137428283691}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:bura.brunel.ac.uk:2438/379","doi":null,"is_oa":true,"landing_page_url":"http://bura.brunel.ac.uk/handle/2438/379","pdf_url":"http://bura.brunel.ac.uk/handle/2438/379","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"pmh:hdl:10068/939364","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10068/939364","pdf_url":null,"source":{"id":"https://openalex.org/S4377196900","display_name":"OpenGrey (Institut de l'Information Scientifique et Technique)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1295345811","host_organization_name":"Institut de l'Information Scientifique et Technique","host_organization_lineage":["https://openalex.org/I1295345811"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"U - Thesis"},{"id":"mag:619643236","doi":null,"is_oa":false,"landing_page_url":"https://bura.brunel.ac.uk/bitstream/2438/379/4/FulltextThesis.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:bura.brunel.ac.uk:2438/379","doi":null,"is_oa":true,"landing_page_url":"http://bura.brunel.ac.uk/handle/2438/379","pdf_url":"http://bura.brunel.ac.uk/handle/2438/379","source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W619643236.pdf","grobid_xml":"https://content.openalex.org/works/W619643236.grobid-xml"},"referenced_works_count":126,"referenced_works":["https://openalex.org/W22297218","https://openalex.org/W59365245","https://openalex.org/W128533561","https://openalex.org/W142158378","https://openalex.org/W183712919","https://openalex.org/W199741330","https://openalex.org/W570536942","https://openalex.org/W571706939","https://openalex.org/W578412335","https://openalex.org/W618003428","https://openalex.org/W623841698","https://openalex.org/W762540857","https://openalex.org/W1481857882","https://openalex.org/W1496226429","https://openalex.org/W1498954346","https://openalex.org/W1525646248","https://openalex.org/W1531162979","https://openalex.org/W1531775311","https://openalex.org/W1545379711","https://openalex.org/W1554661533","https://openalex.org/W1558678607","https://openalex.org/W1559215823","https://openalex.org/W1559809638","https://openalex.org/W1567201730","https://openalex.org/W1587469198","https://openalex.org/W1591180178","https://openalex.org/W1608292140","https://openalex.org/W1641203409","https://openalex.org/W1673970655","https://openalex.org/W1809812506","https://openalex.org/W1825077972","https://openalex.org/W1966262860","https://openalex.org/W1969308522","https://openalex.org/W1973632636","https://openalex.org/W1978551327","https://openalex.org/W1980620433","https://openalex.org/W1980726309","https://openalex.org/W1980948514","https://openalex.org/W1981312187","https://openalex.org/W1982951388","https://openalex.org/W1983816112","https://openalex.org/W1984053448","https://openalex.org/W1991567646","https://openalex.org/W1991848143","https://openalex.org/W1992453431","https://openalex.org/W1995341919","https://openalex.org/W1997000662","https://openalex.org/W2004182374","https://openalex.org/W2004903670","https://openalex.org/W2005091691","https://openalex.org/W2005228957","https://openalex.org/W2005397901","https://openalex.org/W2007396336","https://openalex.org/W2010422915","https://openalex.org/W2015426571","https://openalex.org/W2022890795","https://openalex.org/W2023642571","https://openalex.org/W2023830412","https://openalex.org/W2024060531","https://openalex.org/W2025427163","https://openalex.org/W2026630912","https://openalex.org/W2030428202","https://openalex.org/W2033050927","https://openalex.org/W2036307063","https://openalex.org/W2037708976","https://openalex.org/W2040341059","https://openalex.org/W2040346184","https://openalex.org/W2040870580","https://openalex.org/W2046569784","https://openalex.org/W2046585513","https://openalex.org/W2047422346","https://openalex.org/W2051427288","https://openalex.org/W2053711725","https://openalex.org/W2055735915","https://openalex.org/W2056603306","https://openalex.org/W2056760934","https://openalex.org/W2057377888","https://openalex.org/W2059188702","https://openalex.org/W2062509977","https://openalex.org/W2068229263","https://openalex.org/W2071322291","https://openalex.org/W2073309950","https://openalex.org/W2074427001","https://openalex.org/W2079282055","https://openalex.org/W2080517544","https://openalex.org/W2083778309","https://openalex.org/W2088078066","https://openalex.org/W2089179443","https://openalex.org/W2092407469","https://openalex.org/W2093117961","https://openalex.org/W2109533003","https://openalex.org/W2114509411","https://openalex.org/W2116784035","https://openalex.org/W2120230601","https://openalex.org/W2122456939","https://openalex.org/W2122705395","https://openalex.org/W2124776405","https://openalex.org/W2128084896","https://openalex.org/W2139494805","https://openalex.org/W2140327107","https://openalex.org/W2145672247","https://openalex.org/W2147245887","https://openalex.org/W2148323572","https://openalex.org/W2175533791","https://openalex.org/W2233806119","https://openalex.org/W2270377099","https://openalex.org/W2285291127","https://openalex.org/W2313882406","https://openalex.org/W2318923473","https://openalex.org/W2327327559","https://openalex.org/W2333166067","https://openalex.org/W2467059134","https://openalex.org/W2504853628","https://openalex.org/W2727420541","https://openalex.org/W2752128027","https://openalex.org/W2914275007","https://openalex.org/W2947000318","https://openalex.org/W2972424502","https://openalex.org/W2989733257","https://openalex.org/W3007718688","https://openalex.org/W3015639411","https://openalex.org/W3016504619","https://openalex.org/W3023202875","https://openalex.org/W3158671993","https://openalex.org/W3172839063","https://openalex.org/W3207342693"],"related_works":["https://openalex.org/W2970102996","https://openalex.org/W2005691315","https://openalex.org/W1978698498","https://openalex.org/W2024765453","https://openalex.org/W2015426571","https://openalex.org/W2605716119","https://openalex.org/W4379157608","https://openalex.org/W2516022180","https://openalex.org/W7134624873","https://openalex.org/W2072217801"],"abstract_inverted_index":{"The":[0,86,124,318,330,376,397],"present":[1],"PhD":[2],"study,":[3],"in":[4,40,345,351,385],"its":[5],"first":[6],"part,":[7,359],"uses":[8],"artificial":[9],"neural":[10],"networks":[11,125,141],"(ANNs),":[12],"an":[13,342],"optimization":[14],"technique":[15],"called":[16,49],"simulated":[17,106,130],"annealing,":[18],"and":[19,28,73,77,84,89,121,133,175,223,229,255,256,271],"statistics":[20],"to":[21,97,299],"simulate":[22],"the":[23,41,54,71,92,98,101,105,112,115,118,122,134,137,146,149,155,160,163,167,170,173,177,187,194,202,206,212,220,224,227,230,237,247,278,284,308,314,322,326,347,352,369,391,408],"significant":[24,398],"wave":[25,263,339,349,399],"height":[26,400],"(Hs)":[27],"mean":[29],"zero-up-crossing":[30],"period":[31,107],"(":[32],")":[33],"of":[34,37,57,68,75,104,136,140,148,154,162,166,176,193,204,208,246,261,269,294,316,321,338,354,368,372],"3-hourly":[35,374],"sea-states":[36,209,273],"a":[38,46,129,250,259,287,334,387,412],"location":[39],"North":[42],"East":[43],"Pacific":[44],"using":[45,80,236,407],"proposed":[47,156],"distribution":[48,52,56],"hepta-parameter":[50,157],"spline":[51],"for":[53,70,144,211,249,280,286,379,394],"conditional":[55],"Hs":[58,76,174,254,327,360],"or":[59],"given":[60,96],"some":[61],"inputs.":[62],"Two":[63],"different":[64],"seven-":[65],"network":[66,171],"sets":[67,139],"ANNs":[69],"simulation":[72,371],"prediction":[74,285],"were":[78,91,126,142,234,265],"trained":[79,127],"20-year":[81],"observed":[82],"Hs\u2019s":[83,88],"\u2019s.":[85],"preceding":[87],"\u2019s":[90],"most":[93],"important":[94,343],"inputs":[95],"networks,":[99],"but":[100],"starting":[102],"day":[103,116],"was":[108,274,363,383],"also":[109,404],"necessary.":[110],"However,":[111],"code":[113],"replaced":[114],"with":[117,201,313,325],"corresponding":[119,188],"time":[120],"season.":[123],"by":[128,182,253,276,415],"annealing":[131],"algorithm":[132],"outputs":[135],"two":[138],"used":[143,336,350],"calculating":[145,380],"parameters":[147,165],"probability":[150,315],"density":[151],"function":[152],"(pdf)":[153],"distribution.":[158],"After":[159],"calculation":[161],"seven":[164],"pdf":[168],"from":[169,186,411],"outputs,":[172],"future":[178,373],"sea-state":[179,251,289,310],"is":[180,290,311,333],"predicted":[181,309],"generating":[183],"random":[184],"numbers":[185],"pdf.":[189],"In":[190,357],"another":[191,366],"part":[192,320],"thesis,":[195],"vertical":[196],"piles":[197],"have":[198],"been":[199,405],"studied":[200],"goal":[203],"identifying":[205],"range":[207],"suitable":[210],"safe":[213,270,312],"pile":[214,228,231],"driving":[215],"operation.":[216],"Pile":[217],"configuration":[218],"including":[219],"non-linear":[221],"foundation":[222],"gap":[225],"between":[226],"sleeve":[232],"shims":[233],"modeled":[235,257],"finite":[238],"elements":[239],"analysis":[240,279],"facilities":[241],"within":[242],"ABAQUS.":[243],"Dynamic":[244],"analyses":[245],"system":[248],"characterized":[252],"as":[258],"combination":[260],"several":[262],"components":[264],"performed.":[266],"A":[267],"table":[268],"unsafe":[272],"generated":[275],"repeating":[277],"various":[281],"sea-states.":[282],"If":[283],"particular":[288],"repeated":[291],"N":[292],"times":[293,297],"which":[295],"n":[296],"prove":[298],"be":[300,305],"safe,":[301],"then":[302],"it":[303],"could":[304],"said":[306],"that":[307,389],"100(n/N)%.":[317],"last":[319],"thesis":[323],"deals":[324],"return":[328,331,361,381,401],"values.":[329],"value":[332,362,402],"widely":[335],"measure":[337],"extremes":[340],"having":[341],"role":[344],"determining":[346],"design":[348,353],"maritime":[355],"structures.":[356],"this":[358],"calculated":[364,406],"demonstrating":[365],"application":[367],"above":[370],"Hs\u2019s.":[375],"maxima":[377],"method":[378],"values":[382],"applied":[384],"such":[386],"way":[388],"avoids":[390],"conventional":[392],"need":[393],"unrealistic":[395],"assumptions.":[396],"has":[403],"convolution":[409],"concept":[410],"model":[413],"presented":[414],"Anderson":[416],"et":[417],"al.":[418],"(2001).":[419]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}