نتایج جستجو برای: markov chain model prediction and comparison gray combined with the model prediction gray

تعداد نتایج: 22468625  

Journal: :physical chemistry research 2016
saadi saaidpour

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...

Journal: :Journal of Mathematics 2021

Due to the continuous improvement of productivity, transportation demand freight volume is also increasing. It difficult organize efficiently when quite large. Therefore, predicting total amount goods transported essential in order ensure efficient and orderly transportation. Aiming at optimizing forecast volume, this paper predicts Xi’an based on Gray GM (1, 1) model Markov forecasting model. ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده علوم 1390

any change in the refractive index of a laser active medium can lead to serious degradation of beam quality, laser beam modes, laser performance and variation in the intensity distribution. alteration in the refractive index of laser active medium is especially notable in high power lasers. it is clear that in the laser beam production, the pumping agent induces a great amount of heat which...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی 1389

this study was an attempt to investigate the effect of using c-test passages on the reading comprehension and incidental vocabulary learning of iranian intermediate efl learners. the participants were 60 male efl learners at kish mehr institute in garmsar. in fact, there were two groups, an experimental group and a comparison group with 30 students in each. the participants were pretested throu...

Journal: :پژوهش آب در کشاورزی 0
جواد بهمنش دانشیار گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه. نسرین آزاد طلاتپه دانشجوی کارشناسی ارشد گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه. مجید منتصری دانشیار گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه سینا بشارت استادیار گروه مهندسی آب، دانشکده کشاورزی، دانشگاه ارومیه.

comparison of linear and nonlinear (bilinear) time series models in reference crop evapotranspiration prediction in urmia synoptic stationreference crop evapotranspiration (eto) prediction is one of the important elements in optimizing agricultural water consumption. in this regard, one of the prediction approaches is to use the stochastic time series methods. in this research, ar (p) and arma(...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده ادبیات و علوم انسانی 1391

nowadays enhancing critical thinking in learners is considered one of the foreign language teachers’ tasks due to its high position in foreign language classrooms. when it comes to selecting materials for language classrooms, there are obviously some criteria that teachers should apply. the present study aimed at a critical thinking based analysis of ten picture story books and ten folktales th...

2017
Yi-Chung Hu

Accurate prediction of foreign tourist numbers is crucial for each country to devise sustainable tourism development policies. Tourism time series data often have significant temporal fluctuation, so Grey–Markov models based on a grey model with a first order differential equation and one variable, GM(1,1), can be appropriate. To further improve prediction accuracy from Grey–Markov models, this...

جعفرزاده, علی اکبر, مهدوی, علی, میرزایی زاده, وحید, کرمشاهی, عبدالعلی,

In order to optimize the planning and management of natural resources and the environment, it is essential to know the status of land cover changes over the past decades. Modeling land cover change can provide valuable information for better understanding of this process, determining of effective factors and forecasting of regions subject to change. This study aimed to determine and simulate th...

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