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

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

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

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

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

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

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