نتایج جستجو برای: model based estimation
تعداد نتایج: 4520871 فیلتر نتایج به سال:
In this study, a Takagi-Sugeno (TS) fuzzy rule-based (FRB) model is used for ensembling precipitation time series. The TS FRB takes predictions of grid-based regional climate models (RCMs) from the EUR11 domain, available CORDEX database, as inputs to generate ensembled series two meteorological stations (MSs) in Mediterranean region Turkey. For each MS, RCM data that are at closest grid corres...
In this study, a GLSDC (Gaussian Least Squares Differential Correction) based parameter estimation algorithm is used to identify PMSM (Permanent Magnet Synchronous Motor) model. method, nonlinear model assumed be the correct representation of underlying state dynamics and output signals are measured in noisy environment. Using input signals, parameters that constitute coefficients signal terms ...
uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....
crop yield estimation is one of the most important parameters for information and resources management in precision agriculture. this information is employed for optimizing the field inputs for successive cultivations. in the present study, the feasibility of sugar beet yield estimation by means of machine vision was studied. for the field experiments stripped images were taken during the growt...
abstract the current study sets out 1) to investigate the strategic needs of iranian efl learners in reading literary and non-literary texts; 2) to shed some light on the differences between reading literary and non-literary texts; and 3) to specify the differences in the interaction of participants with texts while reading two literary subgenres ( i.e., short story and literary essays). to ...
There is a growing recognition that discrete choice models are capable of providing a more realistic picture of route choice behavior. In particular, influential factors other than travel time that are found to affect the choice of route trigger the application of random utility models in the route choice literature. This paper focuses on path-based, logit-type stochastic route choice models, i...
The tunnel boring machine (TBM) penetration rate estimation is one of the crucial and complex tasks encountered frequently to excavate the mechanical tunnels. Estimating the machine penetration rate may reduce the risks related to high capital costs typical for excavation operation. Thus establishing a relationship between rock properties and TBM pe...
abstract area-reduction method is one of the most common experimental methods that determines the sediment distribution in reservoirs. in this method, reservoirs are geometrically divided into four types. for all reservoir types, parameters are achieved based on a limited number of reservoirs which leads to large scale errors for prediction of this method. so suitable parameters can be achieved...
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