Prediction of consistency parameters of fen soils by neural networks

  • Artur Borowiec
  • Krzysztof Wilk

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.

Keywords

fen soils, granulation, plastic limit, liquid limit, regression, artificial neural networks,
Published
Jan 25, 2017
How to Cite
BOROWIEC, Artur; WILK, Krzysztof. Prediction of consistency parameters of fen soils by neural networks. Computer Assisted Methods in Engineering and Science, [S.l.], v. 21, n. 1, p. 67-75, jan. 2017. ISSN 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/56>. Date accessed: 07 july 2020.
Section
Articles