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Showing papers by "Candan Gokceoglu published in 2007"


Journal ArticleDOI
TL;DR: The purposes of the present study are to perform an application of ANN to a engineering geology problem having a very large database and to introduce a new approach to accelerate convergence.
Abstract: . Various statistical, mathematical and artificial intelligence techniques have been used in the areas of engineering geology, rock engineering and geomorphology for many years. However, among the techniques, artificial neural networks are relatively new approach used in engineering geology in particular. The attractiveness of ANN for the engineering geological problems comes from the information processing characteristics of the system, such as non-linearity, high parallelism, robustness, fault and failure tolerance, learning, ability to handle imprecise and fuzzy information, and their capability to generalize. For this reason, the purposes of the present study are to perform an application of ANN to a engineering geology problem having a very large database and to introduce a new approach to accelerate convergence. For these purposes, an ANN architecture having 5 neurons in one hidden layer was constructed. During the training stages, total 40 000 training cycles were performed and the minimum RMSE values were obtained at approximately 10 000th cycle. At this cycle, the obtained minimum RMSE value is 0.22 for the second training set, while that of value is calculated as 0.064 again for the second test set. Using the trained ANN model at 10 000th cycle for the second random sampling, the debris source area susceptibility map was produced and adjusted. Finally, a potential debris source susceptibility map for the study area was produced. When considering the field observations and existing inventory map, the produced map has a high prediction capacity and it can be used when assessing debris flow hazard mitigation efforts.

19 citations


Journal ArticleDOI
TL;DR: In this article, the authors discuss the possible source fault which resulted in the Mw 6.4 Eskisehir earthquake on February 20, 1956, within the Anatolian complex.
Abstract: The paper discusses the possible source fault which resulted in the Mw 6.4 Eskisehir earthquake on February 20, 1956, within the Anatolian complex. This is particularly important in view of the fact that Eskisehir, built mainly on alluvium, has a population of 500,000. The damage data were reviewed related to the number of people in the various villages affected. An empirical attenuation equation derived from Anatolian seismicity was applied to three suspected fault segments and the resultant ground motion rates were statistically compared with the damage data. A number of equally distributed suspected epicentres on each segment were considered. It is concluded that the earthquake was probably related to the Kavacik fault

10 citations