Determination of Liquefaction Potential using Artificial Neural Networks:Određivanje likvefakcijskog potencijala umjetnom neuronskom mrežom

Autor:	Farrokhzad, F, Choobbasti, A.J, Barari, Amin
Jazyk:	Multiple languages
Rok vydání:	2011
Předmět:	Regression Model Liquefaction Liquefaction Potential Neural Network Field Investigations Babol in Iran
Zdroj:	Farrokhzad, F, Choobbasti, A J & Barari, A 2011, ' Determination of Liquefaction Potential using Artificial Neural Networks : Određivanje likvefakcijskog potencijala umjetnom neuronskom mrežom ', Gradevinar, bind 63, nr. 9-10, s. 837-845 .
Popis:	The authors propose an alternative general regression model based on neural networks, which enables analysis of summary data obtained by liquefaction analysis according to usual methods. For that purpose, the data from some thirty boreholes made during field investigations in Babol, in the Iranian province of Mazandaran, were entered in the model. The results correspond well with the results obtained by the method introduced by Seet and others. The proposed model has been found reliable for prediction of liquefaction potential.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bca8296b981497d3dbc74bbe151f3ee5 https://vbn.aau.dk/da/publications/925d1d86-c01a-41e2-9755-90d6d91cc1e2 Zobrazit plný text záznamu