Candan Gokceoglu

TL;DR: In this paper, the authors used fuzzy logic and analytical hierarchy process (AHP) models to produce landslide susceptibility maps of a landslide-prone area (Haraz) in Iran.

TL;DR: It is revealed that the back-propagation artificial neural network algorithms overreact to the samplings in which the presence of data were taken from the landslide masses, causing imprecise results.

TL;DR: In this paper, the authors used fuzzy logic approach to produce a landslide susceptibility map of a landslide-prone area in NW Turkey, which includes five main stages, these being the preparation of landslide inventory of the study area, the application of factor analysis, the extraction of fuzzy if-then rules, the use of a geographical information system, and the control of the reliability of the resulting landslide susceptibility maps.

TL;DR: In this article, the authors investigated the relationship between strength and petrographical properties of sandstones, to construct a database as large as possible, to perform a logical parameter selection routine, and to develop a general prediction model for the uniaxial compressive strength.

TL;DR: In this article, the elastic modulus of intact rock is used for many rock engineering projects, such as tunnels, slopes, and foundations, but due to the requirements of high-quality core samples and associated sophisticated test equipment, instead the use of empirical models to obtain this parameter has been an attractive research topic.