نتایج جستجو برای: model error modeling
تعداد نتایج: 2500268 فیلتر نتایج به سال:
in this study, scour of mashkid bridge pier located in mashkid river of saravan county has been studied and to measure the scour rate, the numerical model hec-ras 4.0 has been used. upon selection of mashkid river as the case study and whereas the studied zone is important with respect to the climatic conditions and showery monsoon raining and flowing the great and destructive floodwaters, ther...
In this paper a practical method for tropospheric effects on GPS derived coordinates in absolute mode is presented. GPS observations at the permanent GPS stations can be used as source of information for the modeling. The developed model is a time-dependent model and as such differs from usual tropospheric models, which are based on atmospheric parameters, i.e. temperature, pressure and humidit...
background: municipal solid waste (msw) is the natural result of human activities. msw generation modeling is of prime importance in designing and programming municipal solid waste management system. this study tests the short-term prediction of waste generation by artificial neural network (ann) and principal component-regression analysis. methods: two forecasting techniques are presented in...
carbon nanostructures are famous structures which are used in several industries such as separation, treatment, energy storage (i.e. methane and hydrogen storage), etc. a successful modeling of activated carbon preparation is very important in saving time and money. there are some attempts to achieve the appropriate theoretical modeling of activated carbon preparation but most of them were almo...
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
Soft tissue modeling for the creation of a haptic simulator for training medical skills has been the focus of many attempts up to now. In soft tissue modeling the most important parameter considered is its being real-time, as well as its accuracy and sensitivity. In this paper, ANFIS approach is used to present a nonlinear model for soft tissue. The required data for training the neuro-fuzzy mo...
in this paper a practical method for tropospheric effects on gps derived coordinates in absolute mode is presented. gps observations at the permanent gps stations can be used as source of information for the modeling. the developed model is a time-dependent model and as such differs from usual tropospheric models, which are based on atmospheric parameters, i.e. temperature, pressure and humidit...
rice blast, caused by pyricularia grisea, is one of the most important diseases of this crop in iran and all over the world. to evaluate the relationship between spore population (sp) and meteorological factors, sp was measured daily using spore trap during growing seasons of 2006-2008 in rasht and lahijan regions (guilan province, iran). weather data including precipitation, daily maximum and ...
The objective of this study was to model seasonal behavior of broiler price in Iran that can be used to forecast the monthly broiler prices. In this context, the periodic autoregressive (PAR), the seasonal integrated models, and the Box-Jenkins (SARIMA) models were used as the primary nominates for the forecasting model. It was shown that the PAR (q) model could not be considered as an appropri...
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