Prediction and large scale data
نویسندگان
چکیده
منابع مشابه
Prediction of foundations behavior by a stress level based hyperbolic soil model and the ZEL method
In shallow foundations, the third bearing capacity factor, N, has been found to show a decreasing tendency with increasing the foundation size. It is supported by experimental observations and related mainly to stress level dependent nature of the soil. On the other hand, the bearing capacity is often obtained theoretically without consideration of the foundation vertical displacements. In thi...
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The purpose of the present research was to investigate the relationship between negative and positive religious coping strategies and post traumatic growth and distress and to determine the role of religious coping in their prediction. For this purpose, using multistage random sampling procedures, the researchers recruited a large sample (N = 381, females = 257 and males = 127) of undergraduate...
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Background and Objectives: Although Boilover occurs with a low frequency, but in case of occurrence, it can cause severe damage to people and equipment around the tank. The prediction of the fireball of Boilover phenomenon has an important role to play in adopting appropriate strategies for fire suppression of the atmospheric storage tank. The purpose of this study is to predict the consequence...
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Long-term prediction of precipitation in planning and managing water resources, especially in arid and semi-arid countries such as Iran, has a great importance. In this paper, a method for predicting long-term precipitation using weather signals and artificial neural networks is presented. For this purpose, climatic data (large-scale signals) and meteorological data (local precipitation and tem...
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Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...
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Various methods developed to convert large-scale data to regional climatic data. In few studies , the results of these methods have been statistically compared. The main purpose of this study was to compare SDSM and LARS-WG models for Downscaling output data of CANE-SM2 and HADGEM2-ES general circulation models under RCP2.6, RCP4.5 and RCP8.5 scenarios. For this study, precipitation, minimum an...
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