The applicability of neural networks in the determination of soil profiles

Çağlar, Naci; Arman, Hasan

dc.contributor.authors	Caglar, N; Arman, H;
dc.date.accessioned	2020-03-06T08:07:53Z
dc.date.available	2020-03-06T08:07:53Z
dc.date.issued	2007
dc.identifier.citation	Caglar, N; Arman, H; (2007). The applicability of neural networks in the determination of soil profiles. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 66, 301-295
dc.identifier.issn	1435-9529
dc.identifier.uri	https://doi.org/10.1007/s10064-006-0075-9
dc.identifier.uri	https://hdl.handle.net/20.500.12619/67222
dc.description.abstract	The drilling of a number of boreholes to determine the soil profile of a given area is time consuming and costly. This paper describes estimated soil profiles obtained using a model based on artificial neural networks (ANN). ANN is a powerful data-modelling tool capable of capturing and representing complex relationships between input and output. It deals with many multi-variate problems for which an exact analytical model does not exist or is very difficult and time consuming to develop. The main settlement in the Adapazari region was selected to demonstrate the capability of such model. The results obtained using ANN are promising when compared with the soil profile obtained from boreholes.
dc.language	English
dc.publisher	SPRINGER HEIDELBERG
dc.subject	Geology
dc.title	The applicability of neural networks in the determination of soil profiles
dc.type	Article
dc.identifier.volume	66
dc.identifier.startpage	295
dc.identifier.endpage	301
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü
dc.contributor.saüauthor	Çağlar, Naci
dc.contributor.saüauthor	Arman, Hasan
dc.relation.journal	BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
dc.identifier.wos	WOS:000248134600006
dc.identifier.doi	10.1007/s10064-006-0075-9
dc.contributor.author	Çağlar, Naci
dc.contributor.author	Arman, Hasan