Abstract: This paper evaluates the feasibility of using artificial neural network (ANN) models for estimating the overconsolidation ratio (OCR) of clays from piezocone penetration tests (PCPT). Three feed-forward, back-propagation ...

Abstract: Soil type is typically inferred from the information collected during a cone penetration test (CPT) using one of the many available soil classification methods. In this study, a general regression neural network (GRNN) was ...

Abstract: The determination of the overconsolidation ratio (OCR) of clay deposits is an important task in geotechnical engineering practice. This paper examines the potential of a support vector machine (SVM) for predicting the OCR ...

Abstract: This paper describes pioneering research to integrate a novel “electronic nose” (EN) technology with a membrane interface probe (MIP) for rapidly screening hydrocarbon contaminated sites. The electronic nose is an automated ...