نتایج جستجو برای: networks

تعداد نتایج: 427580  

Background and Aim: Considering the increasing number of users who interact with online social networks, it can be inferred that these networks have become an essential part of users' lives and play different roles in their everyday life. Therefore, the present study aims to explore the role of these networks in users' everyday-life information seeking. Method: This research is an applied resea...

Background and Aim: Todays, various social networks such as Viber, WhatsApp, Telegram, Line and so on have affected all aspects of life. One of the most important benefits of these networks is their application in the education sector. The present study intends to investigate the relationship between userschr('39') perceptions of social networks and the collaborative learning of health care pro...

Hamideh Balalzade Mohammad Reza Lajevardi

In this paper, we try to see how virtual networks can af- fect the behavior of the young. Since there are so many indices to be affected by social networks, we evaluate these effects only on 10 more comprehensive behaviors as follows: identity, getting information and the rumors, rationalism,life style, spare time, religions rituals and cer- emonies, interaction with family, employment and eco-...

شاهرودی , علی‌اصغر , چیذری, محمد ,

  The purpose of this study was to investigate and analyze the factors affecting farmers’ attitudinal dimensions toward participation in Water Users’ Association (WUA) by comparing two groups of farmers in irrigation networks with WUA and without it. The methodological approach was a descriptive-correlational and causal-comparative study of the survey type. The target population in the study co...

Journal: :پژوهش های مدیریت در ایران 0
عادل آذر دانشیار رشته مدیریت، دانشگاه تربیت مدرس، تهران، ایران امیر افسر مربی مدیریت، دانشگاه قم، قم، ایران پرویز احمدی استادیار مدیریت، دانشگاه تربیت مدرس، تهران، ایران

today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...

Journal: :journal of advances in computer research 2015
javad aramideh homayun motameni

in recent years wireless sensor networks have attracted researchers' attention due to vast applications. one of the most prominent issues regarding these networks is coverage which is considered as a quality of service parameter. in this study, we try to address energy shortage in wsns through finding a set of optimal coverage nodes in a specific environment. this is performed utilizing effecti...

Journal: :desert 2011
m.t. dastorani h. afkhami

in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...

When a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. This paper proposes a method to predict road roughness based on vertical acceleration using neural networks. To this end, first, the suspension system and road roughness are expressed mathematically. Then, the suspension system model will identified using neural networks. The results of this step sho...

رضوی, فرزاد, شریفیان, هدا , عسکریان ابیانه, حسین , محمدی چبنلو, رضا ,

Nowadays in order to increase the reliability and other special aims, the power networks are exchanged to the large and interconnected networks. In such networks, the relays setting and coordination is complicated and needs to determine break points. Break points are the initial points in coordination process and in pervious works, different methods are proposed to finding them in interconnecte...

ژورنال: مهندسی دریا 2012
نعمتی, مریم, کرمی خانیکی, علی,

Prediction of wave height is of great importance in marine and coastal engineering. In this study, the performances of artificial neural networks (feed forward with back propagation algorithm) for online significant wave heights prediction, in Persian Gulf, were investigated. The data set used in this study comprises wave and wind data gathered from shallow water location in Persian Gulf. Curre...

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