Now showing items 1-3 of 3
Developing cation exchange capacity and soil index properties relationships using a neuro-fuzzy approach
Artificial intelligence methods are employed to predict cation exchange capacity (CEC) from five different soil index properties, namely specific surface area (SSA), liquid limit, plasticity index, activity (ACT), and clay ...
Principle component analysis in conjuction with data driven methods for sediment load prediction
This study investigates sediment load prediction and generalization from laboratory scale to field scale using principle component analysis (PCA) in conjunction with data driven methods of artificial neural networks (ANNs) ...
Significance of rent attributes in prediction of earthquake damage in Adapazari, Turkey
(Institute of Computer Science, 2014-12)
This paper analyses rent-based determinants of earthquake damage from an urban planning perspective with the data gathered from Adapazari, Turkey, after the disaster in 1999 Eastern Marmara Earthquake (EME). The study ...