نتایج جستجو برای: network models

تعداد نتایج: 1491590  

Journal: :مهندسی صنایع 0
میثم نصرالهی دانشجوی دکتری مهندسی صنایع - پردیس دانشکده های فنی- دانشگاه تهران حسن مینا دانش آموخته ی کارشناسی ارشد مهندسی صنایع- پردیس دانشکده های فنی- دانشگاه تهران سید فرید قادری دانشیار دانشکده مهندسی صنایع - پردیس دانشکده های فنی- دانشگاه تهران رضا قدسی استادیار دانشکده مهندسی صنایع - پردیس دانشکده های فنی- دانشگاه تهران

ecological changes resulting from climate conditions can severely affect human societies especially in the area of economy and safety. climate catastrophes may cause social and economic tension. forecasting such changes accurately can help the government to control the disasters and to achieve possible benefits (such as water supply in flood). weather forecasting is the application of science a...

Journal: :محیط شناسی 0
حمید زارع ابیانه دانشگاه بوعلی سینا ، استادیار گروه مهندسی آب دانشکدة کشاورزی مریم بیات ورکشی دانشگاه بوعلی سینا ، دانش آموخته کارشناسی ارشد آبیاری و زهکشی دانشکدة کشاورزی سمیرا اخوان دانشگاه بوعلی سینا، استادیار گروه مهندسی آب دانشکدة کشاورزی محمد محمدی دانشگاه بوعلی سینا، کارشناس آبیاری

information on nitrate in groundwater resources requires periodic measurements are accurate. despite the measure in some areas due to sensitive social and health community are not reported. therefore, be informed of the status of each area of water quality, modeling is essential. the purpose of this study was the application of artificial neural network method for estimating nitrate and compare...

Journal: :international journal of data envelopment analysis 2013
s. banihashemi g. tohidi

the present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. the previous models of data envelopment analysis (dea) have been too general in their scope and focused on the input and the output within a black box system, therefore they have not been able to measure various phases simultaneously within a network system. by using these models...

اسد آبادی, آذر, بهرامپور, عباس, حقدوست, علی اکبر,

  Background and Objectives : recent years, considerable attention has been paid to statistical models for classification of medical data according to various diseases and their outcomes. Artificial neural networks have been successfully used for pattern recognition and prediction since they are not based on prior assumptions in clinical studies. This study compared two statistical models, arti...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده مدیریت 1392

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

G. Tohidi S. Banihashemi

  The present study is an attempt towards remodeling cost, revenue and profit relationship within the network process. The previous models of Data Envelopment Analysis (DEA) have been too general in their scope and focused on the input and the output within a black box system, therefore they have not been able to measure various phases simultaneously within a network system. By using these mod...

Journal: :international journal of data envelopment analysis 2014
s. keikha-javan m. rostamy-malkhalifeh

data envelopment analysis (dea) measures the relative efficiency of decision making units (dmus) with multiple inputs and multiple outputs. dea-based malmquist productivity index measures the productivity change over time. we propose a dynamic dea model involving network structure in each period within the framework a dea. we have previously published the network dea (ndea) and the dynamic dea ...

Journal: :iranian journal of medical physics 0
amir ghanifar electrical and information technology department, iranian research organization for science and technology (irost), tehran, iran. vahid reza nafisi electrical and information technology department, iranian research organization for science and technology (irost), tehran, iran.

introduction the concentration of substances, including urea, creatinine, and uric acid, can be used as an index to measure toxic uremic solutes in the blood during dialysis and interdialytic intervals. the on-line monitoring of toxin concentration allows for the clearance measurement of some low-molecular-weight solutes at any time during hemodialysis.the aim of this study was to determine the...

Journal: :basic and clinical neuroscience 0
abbas pourhedayat school of engineering-emerging technologies, university of tabriz, tabriz, iran. yashar sarbaz school of engineering-emerging technologies, university of tabriz, tabriz, iran.

introduction: huntington disease (hd) is a progressive neurodegenerative disease which affects movement control system of the brain. hd symptoms lead to patient’s gait change and influence stride time intervals. in this study, we present a grey box mathematical model to simulate hddisorders. this model contains main physiological findings about bg. methods: we used artificial neural networks (a...

Abbas Ali Abounoori Esmaeil Naderi Hanieh Mohammadali Nadiya Gandali Alikhani

During the recent decades, neural network models have been focused upon by researchers due to their more real performance and on this basis, different types of these models have been used in forecasting. Now, there is a question that which kind of these models has more explanatory power in forecasting the future processes of the stock. In line with this, the present paper made a comparison betw...

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