Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression

This paper presents a new approach, based on evolutionary polynomial regression (EPR), for prediction of permeability ( K), maximum dry density (MDD), and optimum moisture content (OMC) as functions of some physical properties of soil. EPR is a data-driven method based on evolutionary computing aime...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Computers & geosciences 2011-11, Vol.37 (11), p.1860-1869
Hauptverfasser:	Ahangar-Asr, A., Faramarzi, A., Mottaghifard, N., Javadi, A.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithms bentonite computers Data mining Density Earth sciences Earth, ocean, space equations Evolutionary Evolutionary computing Exact sciences and technology Genetic algorithms gravel least squares limestone Mathematical models Maximum dry density neural networks Optimum moisture content Permeability prediction Regression Sand soil physical properties Soils Surficial geology water content
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!