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切換: 標籤 | MARC模式 | ISBD

MARS applications in geotechnical en...

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MARS applications in geotechnical engineering systems = multi-dimension with big data /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MARS applications in geotechnical engineering systems/ by Wengang Zhang.
其他題名:	multi-dimension with big data /
作者:	Zhang, Wengang.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xxi, 240 p. :ill., digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer eBooks
標題:	Input/Output and Data Communications. -
電子資源:	https://doi.org/10.1007/978-981-13-7422-7
ISBN:	9789811374227

MARS applications in geotechnical engineering systems = multi-dimension with big data /
Zhang, Wengang.

MARS applications in geotechnical engineering systemsmulti-dimension with big data /[electronic resource] :by Wengang Zhang. - Singapore :Springer Singapore :2020. - xxi, 240 p. :ill., digital ;24 cm.

Introduction -- 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.

This 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.

ISBN: 9789811374227

Standard No.: 10.1007/978-981-13-7422-7doiSubjects--Topical Terms:

893593
Input/Output and Data Communications.

LC Class. No.: QA278

Dewey Class. No.: 519.535

MARS applications in geotechnical engineering systems = multi-dimension with big data /
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