Aplikácia algoritmu neurónových sietí pri riešení hydrogeologických problémov

by Bottlik, F.
Source: 1. Mineralia slovaca 1. Roč. 41, č. 3 (2009) 1. 0369-2086
2. Príl.: 2. Geovestník 2. Č. 3 (2009), s. 347

Discussion on the paper by H. Gulu and E. Ercelebi "A neural network approach for attenuation relationships: an application using strong ground motion data from Turkey (in press)"

by Sonmez, Harun, Gokceoglu, Candan
Source: 1. Engineering geology 1. Roč. 97, č. 1-2 (2008), s. 91-93 1. 0013-7952

Reply to discussion by H. Sönmez and C. Gökceoglu on "A neural network approach for attenuation relationships: an application using strong ground motion data from Turkey" by H. Gül...

by Güllü, Hamza, Erçelebi, Ergun
Source: 1. Engineering geology 1. Roč. 97, č. 1-2 (2008), s. 94-96 1. 0013-7952

Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees

by Tiryaki, Bulent
Source: 1. Engineering geology 1. Roč. 99, č. 1-2 (jún 2008), s. 51-60 1. 0013-7952

Prediction of static shear force and fatigue life of adhesive joints by artificial neural network

by Sekercioglu, T., Kovan, V.
Source: 1. Kovové materiály 1. 0023-432X 1. Roč. 46, č. 1 (2008), s. 51-57

Predicting subsurface soil layering and landslide risk with Artificial Neural Networks: a case study from Iran

by Farrokhzad, Farzad, Barari, Amin, Ibsen, Lars B., Choobbasti, Asskar J.
Source: 1. Geologica carpathica 1. Roč. 62, č.5 (2011), s. 477-485 1. 1335-0552

The use of ANN in improving efficiency and ensuring the stability of the copper ore mining process

by Więcek, Dorota, Burduk, Anna, Kuric, Ivan
Source: 1. Acta Montanistica Slovaca 1. Roč. 24, č. 1 (2019), s. 1-14 1. 1335-1788

Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan area: pre- and post-earthquake investigation

by Lin, Hung-Ming, Chang, Shun-Kung, Wu, Jian-Hong, Juang, C. Hsein
Source: 1. Engineering geology 1. Roč. 104, č. 3-4 (marec 2009), s. 280-289 1. 0013-7952

Dermination of the effect of plasma spray parameters on in-situ reaction intensity by experimental and means of artificial neural networks method

by Durmus, H., Tekmen, C., Tsunekawa, Y.
Source: 1. Kovové materiály 1. 0023-432X 1. Roč. 47, č. 4 (2009), s. 227-231

Odhad bodov vlhkostnej retenčnej krivky využitím množín umelých neurónových sietí

by Rodný, Marek
Call Number: III.215486

Source: 1. Mimoprodukčné funkcie pôdy a krajiny na územiach ovplyvňovaných antropogénnou činnosťou : zborník referátov z vedeckej konferencie s medzinárodnou účasťou, Michalovce 3.-4. september 2009 1. Michalovce : Výskumný ústav agroekológie, 2009 1. S. 182-191 1. 9788089417094

Linkage between in-stream total phosphorus and land cover in Chugoku district, Japan: an ANN approach

by Amiri, Bahman Jabbarian, Amiri, Bahman Jabbarian, Sudheer, K. P., Fohrer, Nicola
Source: 1. Journal of hydrology and hydromechanics 1. Roč. 60, č. 1 (2012), s. 33-44 1. 0042-790X

Experimental research and ANN modeling on the impact of the ball burnishing process on the mechanical properties of 5083 Al-Mg material

by Basak, H., Ozkan, M. T., Toktas, I.
Source: 1. Kovové materály 1. Roč. 57, č. 1 (2019), s. 61–74 1. 1338-4252

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

by Nefeslioglu, Hakan A., Gokceoglu, Candan, Sonmez, Harun
Source: 1. Engineering geology 1. Roč. 97, č. 3-4 (2008), s. 171-191 1. 0013-7952