Prediction of consistency parameters of fen soils by neural networks

Journal Title: Computer Assisted Methods in Engineering and Science - Year 2014, Vol 21, Issue 1

Abstract

This paper presents application of artificial neural networks (ANNs) for prediction of consistency parameters (plastic limit, liquid limit) of fen soils in comparison with the standard regression analysis. All samples of cohesive soils were retrieved from the Wisłok river floodplain, in the vicinity of Rzeszów, near Lisia Góra (Fox Mountain) reserve. Basic fractions (clay, silt, sand) of fen soils are independent variables in modeling of soil properties. Two regression models and a standard multi-layer back-propagation net have been used.

Authors and Affiliations

Artur Borowiec, Krzysztof Wilk

Keywords

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  • EP ID EP73587
  • DOI -
  • Views 159
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How To Cite

Artur Borowiec, Krzysztof Wilk (2014). Prediction of consistency parameters of fen soils by neural networks. Computer Assisted Methods in Engineering and Science, 21(1), 67-75. https://europub.co.uk./articles/-A-73587