{"id":"https://openalex.org/W3090942783","doi":"https://doi.org/10.3906/elk-1905-179","title":"Modeling compaction parameters using support vector and decision tree regression algorithms","display_name":"Modeling compaction parameters using support vector and decision tree regression algorithms","publication_year":2019,"publication_date":"2019-10-17","ids":{"openalex":"https://openalex.org/W3090942783","doi":"https://doi.org/10.3906/elk-1905-179","mag":"3090942783"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1905-179","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1905-179","pdf_url":"https://doi.org/10.3906/elk-1905-179","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.3906/elk-1905-179","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047233760","display_name":"Abdurrahman \u00d6zbeyaz","orcid":"https://orcid.org/0000-0002-2724-190X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Abdurrahman \u00d6ZBEYAZ","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083568581","display_name":"Mehmet S\u00f6ylemez","orcid":"https://orcid.org/0000-0001-8684-9117"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet S\u00d6YLEMEZ","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047233760"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4431,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.81951886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"5","first_page":"3079","last_page":"3093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.9922999739646912,"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/T10716","display_name":"Soil and Unsaturated Flow","score":0.9922999739646912,"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/T12293","display_name":"Dam Engineering and Safety","score":0.9921000003814697,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/compaction","display_name":"Compaction","score":0.6638545393943787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6594006419181824},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5149603486061096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5143696069717407},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.501584529876709},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4858374297618866},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4809814691543579},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.46473100781440735},{"id":"https://openalex.org/keywords/soil-compaction","display_name":"Soil compaction","score":0.4619837701320648},{"id":"https://openalex.org/keywords/atterberg-limits","display_name":"Atterberg limits","score":0.4457835257053375},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4211879372596741},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4201086163520813},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.41837525367736816},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40914425253868103},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.3853895664215088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3149035573005676},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.23863336443901062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19943922758102417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19869568943977356},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.1847410798072815},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.1775306761264801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15666189789772034}],"concepts":[{"id":"https://openalex.org/C196715460","wikidata":"https://www.wikidata.org/wiki/Q1414356","display_name":"Compaction","level":2,"score":0.6638545393943787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6594006419181824},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5149603486061096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5143696069717407},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.501584529876709},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4858374297618866},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4809814691543579},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.46473100781440735},{"id":"https://openalex.org/C70957220","wikidata":"https://www.wikidata.org/wiki/Q618290","display_name":"Soil compaction","level":3,"score":0.4619837701320648},{"id":"https://openalex.org/C116973930","wikidata":"https://www.wikidata.org/wiki/Q1143620","display_name":"Atterberg limits","level":3,"score":0.4457835257053375},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4211879372596741},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4201086163520813},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.41837525367736816},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40914425253868103},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.3853895664215088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3149035573005676},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.23863336443901062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19943922758102417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19869568943977356},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.1847410798072815},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.1775306761264801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15666189789772034},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3906/elk-1905-179","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1905-179","pdf_url":"https://doi.org/10.3906/elk-1905-179","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3906/elk-1905-179","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1905-179","pdf_url":"https://doi.org/10.3906/elk-1905-179","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090942783.pdf","grobid_xml":"https://content.openalex.org/works/W3090942783.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1981466647","https://openalex.org/W1974053966","https://openalex.org/W2371918590","https://openalex.org/W2066727063","https://openalex.org/W1961857418","https://openalex.org/W2046577984","https://openalex.org/W2350174626","https://openalex.org/W2518722007","https://openalex.org/W628708395","https://openalex.org/W1994035019"],"abstract_inverted_index":{"Shortening":[0],"the":[1,11,29,42,51,55,82,101,107,112,124,134,140,149,167,173,182,189,202,208,218],"periods":[2],"of":[3,31,57,63,127,142,175,184,210],"compaction":[4,59,212],"tests":[5,17,115],"can":[6],"be":[7,215],"possible":[8,216],"by":[9],"analyzing":[10],"data":[12,27,104],"obtained":[13],"from":[14,111,116],"previous":[15],"laboratory":[16,222],"with":[18,137,160],"regression":[19,22,65],"methods.":[20],"The":[21,61,103],"analysis":[23],"applied":[24],"to":[25],"current":[26],"reduces":[28],"cost":[30],"experiments,":[32],"saves":[33],"time,":[34],"and":[35,45,74,93,145,154,162],"gives":[36],"estimated":[37,192],"outputs.":[38],"In":[39],"this":[40,177,206],"study,":[41,207],"MLS-SVR,":[43],"KB-SVR,":[44],"DTR":[46],"algorithms":[47,66,203],"were":[48,79,96,109,158],"employed":[49,97],"for":[50,54,106,220],"first":[52],"time":[53],"estimation":[56,151,174,183],"soil":[58,83,114,211],"parameters.":[60],"performances":[62],"these":[64],"in":[67,100,119,123,139,148,172,181,194,205],"estimating":[68],"maximum":[69],"dry":[70],"unit":[71],"weight":[72],"(MDD)":[73],"optimum":[75],"water":[76],"content":[77],"(OMC)":[78],"compared.":[80],"Furthermore,":[81],"properties":[84],"(fine-grained":[85],"soil,":[86],"sand,":[87],"gravel,":[88],"specific":[89],"gravity,":[90],"liquid":[91],"limit,":[92],"plastic":[94],"limit)":[95],"as":[98],"inputs":[99],"study.":[102],"used":[105,204],"study":[108],"supplied":[110],"experimental":[113],"small":[117],"dams":[118],"Ni\u011fde,":[120],"a":[121],"province":[122],"southern":[125],"part":[126],"Central":[128],"Anatolia,":[129],"Turkey.":[130],"Polynomial-based":[131],"KB-SVR":[132,156],"yielded":[133],"best":[135],"R-values":[136],"0.93":[138],"prediction":[141,209],"both":[143],"OMC":[144],"MDD.":[146,185],"Moreover,":[147],"multioutput":[150],"model,":[152],"polynomial":[153],"RBFbased":[155],"methods":[157],"successful":[159],"0.98":[161],"0.99,":[163],"respectively.":[164],"Additionally,":[165],"while":[166],"MSE":[168],"value":[169,178],"was":[170,179,188,198],"1.33":[171],"OMC,":[176],"0.04":[180],"Accordingly,":[186],"MDD":[187],"most":[190],"successfully":[191],"parameter":[193],"all":[195],"processes.":[196],"It":[197],"concluded":[199],"that":[200],"through":[201],"parameters":[213],"could":[214],"without":[217],"need":[219],"further":[221],"tests.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}