نتایج جستجو برای: model error
تعداد نتایج: 2280731 فیلتر نتایج به سال:
the output error of the globoidal cam mechanism can be considered as a relevant indicator ofmechanism performance, because it determines kinematic and dynamical behavior of mechanicaltransmission. based on the differential geometry and the rigid body transformations, themathematical model of surface geometry of the globoidal cam is established. then we present theanalytical expression of the ou...
In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...
Human error is a significant and ever-growing problem in the healthcare sector. In this study, resource allocation problem is considered along with human errors to optimize utilization of resources in an emergency department. The algorithm is composed of simulation, artificial neural network (ANN), design of experiment (DOE) and fuzzy data envelopment analysis (FDEA). It is a multi-response opt...
Sediment transport constantly influences river and civil structures and the lack ofinformation about its exact amount makes management efforts less effective. Hence,achieving a proper procedure to estimate the sediment load in rivers is important. We usedsupport vector machine model to estimate the sediments of the Kakareza River in LorestanProvince and the results were compared with those obta...
Accurate forecasting of annual gas consumption of the country plays an important role in energy supply strategies and policy making in this area. Markov chain grey regression model is considered to be a superior model for analyzing and forecasting annual gas consumption. This model Markov is a combination of the Markov chain and grey regression models. According to this model, the residual er...
Soil erodibility factor is a criterion of soil particle resistance to detachment, transport, and effects of erosivity factors (rain drop, runoff, and wind) during the soil loss processes. In this study, non-linear support vector machines (SVMs) method was used for investigating the effects of some topography, soil physical and mechanical properties on soil erodibility in a part of Northern Karo...
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