Adaptive neuro-fuzzy modeling for the swelling potential of compacted soils
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Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
SPRINGER
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
This paper aims to present the usability of an adaptive neuro fuzzy inference system (ANFIS) for the prediction swelling potential of the compacted soils that are important materials for geotechnical purposes such as engineered barriers for municipal solid waste, earth dams, embankment and roads. In this study the swelling potential that is also one of significant parameters for compacted soils was modeled by ANFIS. For the training and testing of ANFIS model, data sets were collected from the tests performed on compacted soils for different geotechnical application in Nigde. Four parameters such as coarse-grained fraction ratio (CG), fine-grained fraction ratio (FG), plasticity index (PI) and maximum dry density (MDD) were presented to ANFIS model as inputs. The results obtained from the ANFIS models were validated with the data sets which are not used for the training stage. The analyses revealed that the predictions from ANFIS model are in sufficient agreement with test results.
Description
Keywords
Swelling potential, ANFIS, Compacted soils
Journal or Series
ENVIRONMENTAL EARTH SCIENCES
WoS Q Value
Q4
Scopus Q Value
Q2
Volume
59
Issue
1
