نتایج جستجو برای: prediction model
تعداد نتایج: 2268517 فیلتر نتایج به سال:
Expressive performance modeling requires different information for each expressive dimension. Most systems, however, rely on a single approach for all dimensions. Further, tempo and timing are mostly treated as one atomic entity instead of being decomposed into elements and treated separately. We propose a performance model that discriminates expressive dimensions with regard to the modeling ap...
drought affects on all aspects of human actirities seriously as a climatic phenomenon. however, the studies related to this phenomenon based on suitable method are very few. studying the drought features and its prediction can be effective on decreasing of resulted losses or damages. therefore, drought and evaluation of its prediction possibility are studied for some stations of ardabil provinc...
this study predicts corporate bankruptcy five years before its occurrence using financial ratios introduced in altman’s z-score model and current ratio. three estimation methods namely; liner probability, logit and probit models have chosen for model estimation. the sample contains 134 companies in tehran stock exchange during 2003. the precision of prediction of the estimated models for the ma...
the quantitative structure-property relationship (qspr) method is used to develop the correlation between structures of refrigerants (198 compounds) and their critical temperature. molecular descriptors calculated from structure alone were used to represent molecular structures. a subset of the calculated descriptors selected using a genetic algorithm (ga) was used in the qspr model development...
decision making on budgeting is one of the most important issues for executing managers. budgeting is a major tool for planning and control of projects. in public and non-profit organizations and institutions, estimating the costs and revenues plays an important role in receiving credit and budgeting. in this regard, in the present paper the case of isfahan municipality is considered. one of th...
the wepp physically model is able to dynamically simulate runoff and soil erosion using physical concepts of erosion and hydraulic of overland flow science considering plant growth, residue decomposition, winter process. determination of the capability of this model in runoff and erosion estimation in different range type with investigation the effects of management were the main objectives of ...
a quantitative structure–activity relationship (qsar) study is suggested for the prediction of biological activity (pic 50 ) of 3, 4-dihydropyrido [3 ,2-d] pyrimidone derivatives as p38 inhibitors. modeling of the biological activities of compounds of interest as a function of molecular structures was established by means of principal component analysis (pca) and least square support vector mac...
nowadays, due to increasing the complexity of ic engines, calibration task becomes more severe and the need to use surrogate models for investigating of the engine behavior arises. accordingly, many black box modeling approaches have been used in this context among which network based models are of the most powerful approaches thanks to their flexible structures. in this paper four network base...
Time series and their methods of analysis are important subjects in statistics. Most of time series have a linear behavior and can be modelled by linear ARIMA models. However, some of realized time series have a nonlinear behavior and for modelling them one needs nonlinear models. For this, many good parametric nonlinear models such as bilinear model, exponential autoregressive model, threshold...
Background and Objectives: Diabetes is a chronic and common metabolic disease which has no curative treatment. Logistic regression (LR) is a statistical model for the analysis and prediction in multivariate statistical techniques. Discriminant analysis is a method for separating observations in terms of dependent variable levels which can allocate any new observation after making discriminating...
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