List of Articles منحنی راک

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  1 - Provide hybrid model for forecasting financial crises based on free cash flow :evidence from the capital market
  ayat tamrinia mahdi Moradzadeh fard REZA Nazari Bahman Banimahd
  Abstract: Due to the significant socio-economic and political consequences that financial crises impose on different segments of society, financial crises of reporting units have always been one of the most important issues for creditors, shareholders and stakeholders i More

  Abstract: Due to the significant socio-economic and political consequences that financial crises impose on different segments of society, financial crises of reporting units have always been one of the most important issues for creditors, shareholders and stakeholders in general. The purpose of this study is to provide a combined model based on It is based on cash and free flows to predict financial crises in the Iranian capital market. The model is based on selected financial ratios based on free cash flows and by adding efficiency criteria. Research data using samples including 1560 views from 260 companies During the years 2007 to 2017These data are calculated to predict financial crises from Logit regression and to compare the resolution of the hybrid model with other common models of the rock curve. The research findings show that the hybrid model is based on flows. Free cash flow identifies the financial crises of companies in the Iranian capital market properly and has a higher accuracy compared to the following powerful models. According to the results of this study, it can be said that in the Iranian capital market, models based on free cash flows Capturing the structure of Iran's capital market and inflationary conditions has more explanatory power in relation to forecasting financial crises, and company managers and investors and corporate executives and investors in their economic decisions can pay more attention to such hybrid models. Manuscript profile
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  2 - Prioritization of factors affecting the occurrence of slope movements and preparation of a zoning map of the risk of its occurrence using a new random forest algorithm (Case study: part of the catchment area of Latian Dam)
  Leila Ebrahimi
  The first and most important step in assessing the risk of sloping movements is to prepare risk maps for the occurrence of sloping movements. These maps are a final product that can be useful for land use planning. The purpose of this study is to prioritize the factors More

  The first and most important step in assessing the risk of sloping movements is to prepare risk maps for the occurrence of sloping movements. These maps are a final product that can be useful for land use planning. The purpose of this study is to prioritize the factors affecting the occurrence of slope movements and zoning the risk of its occurrence using a new random forest algorithm in the topographic map of 1: 50,000 Lashkark in the northern part of Latian Dam. According to the hydrological, topographic, geological, geomorphological and climatic characteristics of the region, the most important factors influencing the occurrence of slope movements are 9 indices of distance from road, fault, river, lithology, rainfall, altitude, slope, slope direction and land use as the most important. Factors affecting the occurrence of this type of movement in the region were considered. The results show that the three factors of distance from the fault, road and slope are three important factors in the occurrence of amplitude movements in the study area, respectively. In order to evaluate the prepared model, the relative performance detection curve was used. Based on the results of the rock curve, the value of the area under the curve in educational points is equal to 0.826 and in evaluation points is equal to 0.839 percent. Figure 9 is a very good evaluation of the stochastic forest algorithm in zoning the risk of slope movements using this model. Manuscript profile
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  3 - Spatial analysis of landslide risk with emphasis on geomorphological factors using stochastic forest model (Case study: Larestan city in Fars province)
  Mohammad Ibrahim Afifi
  Due to the ability of data mining techniques, their application in the field of earth sciences has been widely developed. The purpose of this study is to zoning landslide sensitivity using stochastic forest algorithm in Larestan city, Fars province. Random forests are a More

  Due to the ability of data mining techniques, their application in the field of earth sciences has been widely developed. The purpose of this study is to zoning landslide sensitivity using stochastic forest algorithm in Larestan city, Fars province. Random forests are a modern type of tree-base that includes a host of classification and regression trees. The random forest algorithm is based on a bunch of decision trees and is currently one of the best learning algorithms. For the present study, information layers of slope degree, slope direction, altitude, slope shape, distance from fault, distance from waterway, distance from road, rainfall, lithology and land use as factors affecting landslide occurrence were identified and its maps in software. ArcGIS10 / 2 digit and were prepared. Then, using a random forest algorithm, the relationship between the effective factors and the location of landslides and the weight of each of them were calculated in R statistical software and finally transferred to the GIS environment to prepare a landslide susceptibility map. The results of evaluating the accuracy of the zoning method using the relative yield detection curve and 30% of the slip points not used in the modeling process, indicate the excellent accuracy of the random forest model with the area below the curve being 98.8%. The executive recommendation is to reduce the risk of stabilization of unstable areas and to avoid these areas; And any planning in the future development of the physical elements of urban infrastructure should be done with regard to the possibility of landslides. Manuscript profile