A neural network approach for attenuation relationships: An application using strong ground motion data from Turkey

By Hamza Güllü, Ergun Erçelebi. 2007

104 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/562030585e340e91061b1e5f6fa5e0dbba30eae2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. A. Momeni
2. M. Heidari
3. Y. Abdilor
4. G. Khanlari

Citations in the corpus

• Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods (2012, background): “This is one of the most important and difficult tasks, since there is no unified theory for the optimal architecture (Shahin et al., 2001; Güllü and Erçelebi, 2008, 2007).”