نتایج جستجو برای: model error modeling
تعداد نتایج: 2500268 فیلتر نتایج به سال:
In this paper, an OCR post-processing method that combines a language model, OCR hypothesis information and an error model is proposed. The approach can be seen as a flexible and efficient way to perform Stochastic Error-Correcting Language Modeling. We use Weighted Finite-State Transducers (WFSTs) to represent the language model, the complete set of OCR hypotheses interpreted as a sequence of ...
this is the first attempt at process modeling in terms of predictive control using a hierachical method based on regression analysis and artificial neural networks (anns). this hierachical method leads to the reliability improvement of neural model of the process in predicting (extrapolation and interpolation) the process output. such an outlook makes it possible to predict the proper input set...
a quanitative structure property relationship was proposed to calculate the binary interaction terms of the jouyban-acree model using solubility parameter, boiling point, vapour pressure and density of solvents. the applicability of the proposed method for reproducing solubility data of anthracene in binary solvents has been evaluated using 116 solubility data sets collected from the literature...
Parameter estimation by inverse modeling involves the repeated evaluation of a function of residuals. These residuals represent both errors in the model and errors in the data. In practical applications of inverse modeling of multiphase flow and transport, the error structure of the final residuals often significantly deviates from the statistical assumptions that underlie standard maximum like...
A decentralized model-based control strategy is designed to reduce low-frequency sound radiation from periodically stiffened panels. While decentralized control systems tend to be scalable, performance can be limited due to modeling error introduced by the unmodeled interaction between neighboring control units. Since bounds on modeling error are not known in advance, it is difficult to ensure ...
The aim of this paper is to develop a new datadriven approach for learning the H ∞ -norm of multivariable systems that can be used for model-error-modeling in robust feedback control. The proposed algorithm only requires iterative experiments on the system. Especially for the multivariable situation that is considered in this paper, these experiments have to be judiciously chosen. The proposed ...
mazandaran province is one of the most important agricultural areas in iran. researches findings show that the role of bank credits is really important due to the lack of available funds in agricultural sector. in this study, the relationship between allocation of agricultural bank credits of iran as professional bank section and agricultural employment was studied in the mazandaran province ba...
introduction the ardabil plain aquifer, with area about 900 km2, has high concentration amounts of nitrate in some parts. nowadays, nitrate pollution in groundwater due to the widespread application of fertilizers and increasing of drinking water demand, has encountered consumers with problem. the adverse health effects of high nitrate levels in drinking water have been well documented. in the ...
تکنیک داده – ستانده از سالها قبل و به طور گسترده در برنامهریزیهای منطقهای بکار رفته است، اما آنچه که کمتر به آن پرداخته شده است، مدلهای چند منطقهای و اثرات سریز و بازخورد بین مناطق است. با توجه به اینکه ساخت جداول داده – ستانده بین منطقهای بسیار پرهزینه و زمانبراست، اولین سوال قابل طرح این است که آیا ساخت این جداول ضرورت دارد یا خیر؟ و با نادیده گرفتن این اثرات در مدلهای تک منطقهای خطا...
A standard problem in social science attempts to better understand the large wage disparities between black and white workers in U. S. labor markets. Social scientists have conducted hundreds of studies of observed racial wage gaps, seeking to understand the extent to which they are driven by differences in human capital or disparate treatment by employers. In order to get an unbiased estimate ...
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