نتایج جستجو برای: m model

تعداد نتایج: 2553033  

Journal: :Journal of Scientific Research 2023

The paper deals with an M/M/2 Queueing Model working vacations and reneging of customers due to impatience. matrix geometric method is used find the distribution number in system. A cost function constructed obtain optimal value service rate optimize (minimize) using Quadratic Fit Search Method (QFSM). Further, effects on system's performance measures numerical analysis graphical representation...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد گرمسار - پژوهشکده علوم انسانی و اجتماعی 1391

abstract the present study was conducted to investigate the effect of using model essays on the development of writing proficiency of iranian pre-intermediate efl learners. to fulfill the purpose of the study, 55 pre- intermediate learners of parsa language institute were chosen by means of administering proficiency test. based on the results of the pretest, two matched groups, one as the expe...

Journal: :journal of water sciences research 2010
a khosronejad

in the present paper, a 3d numerical model has been applied to predict the flow hydrodynamics around power intakes within the dez dam reservoir. the dez dam is a 203 m high, double arch concrete dam which is constructed by italians in 1962. since then, sedimentation in reservoirhas continued and since the dam does not have bottom outlet, the reservoir bed level is raising by a rate of about 2.5...

Journal: :journal of sciences islamic republic of iran 0

in this paper, we show that the chapman-kolmogorov formula could be used as a recursive formula for computing the m-step-ahead conditional density of a markov bilinear model. the stationary marginal probability density function of the model may be approximated by the m-step-ahead conditional density for sufficiently large m.

2013
Padhraic Smyth

1. Construct a generative or forward model M with parameters θ of how data D can be generated. We can think of this generative model as a stochastic simulator for the data, with parameters θ. We will assume for now that M , the structure or functional form of the model, is known, but that the parameters θ are unknown1. An example would be that M is a Gaussian (Normal) probability density functi...

Journal: :International Journal of Advanced Computer Science and Applications 2015

Journal: :Mathematical and Computer Modelling 2011

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