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001 978-981-13-7422-7
003 DE-He213
005 20220801214839.0
007 cr nn 008mamaa
008 190430s2020 si | s |||| 0|eng d
020 _a9789811374227
_9978-981-13-7422-7
024 7 _a10.1007/978-981-13-7422-7
_2doi
050 4 _aTA703-705.4
072 7 _aTNC
_2bicssc
072 7 _aSCI042000
_2bisacsh
072 7 _aTNC
_2thema
082 0 4 _a624.15
_223
100 1 _aZhang, Wengang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940821
245 1 0 _aMARS Applications in Geotechnical Engineering Systems
_h[electronic resource] :
_bMulti-Dimension with Big Data /
_cby Wengang Zhang.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXXI, 240 p. 99 illus., 64 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- MARS methodology -- Simple MARS modeling examples -- MARS use in prediction of collapse potential for compacted soils -- MARS use in prediction of diaphragm wall deflections in soft clays -- MARS use in HP-pile drivability assessment -- MARS use in assessment of soil liquefaction -- MARS use in evaluating entry-type excavation stability -- Summary and conclusions.
520 _aThis book presents the application of a comparatively simple nonparametric regression algorithm, known as the multivariate adaptive regression splines (MARS) surrogate model, which can be used to approximate the relationship between the inputs and outputs, and express that relationship mathematically. The book first describes the MARS algorithm, then highlights a number of geotechnical applications with multivariate big data sets to explore the approach’s generalization capabilities and accuracy. As such, it offers a valuable resource for all geotechnical researchers, engineers, and general readers interested in big data analysis. .
650 0 _aEngineering geology.
_94157
650 0 _aGeotechnical engineering.
_94958
650 0 _aBig data.
_94174
650 0 _aQuantitative research.
_94633
650 0 _aComputer input-output equipment.
_922942
650 1 4 _aGeoengineering.
_931828
650 2 4 _aGeotechnical Engineering and Applied Earth Sciences.
_931829
650 2 4 _aBig Data.
_94174
650 2 4 _aData Analysis and Big Data.
_940822
650 2 4 _aInput/Output and Data Communications.
_937326
710 2 _aSpringerLink (Online service)
_940823
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811374210
776 0 8 _iPrinted edition:
_z9789811374234
776 0 8 _iPrinted edition:
_z9789811374241
856 4 0 _uhttps://doi.org/10.1007/978-981-13-7422-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76817
_d76817