نتایج جستجو برای: artificial networks

تعداد نتایج: 656609  

Journal: :آب و خاک 0
فتحی فتحی محمدی محمدی همایی همایی

abstract prediction of input flow into water resources is regarded as one of the most important issues in optimum planning and management in producing electro-water energy and optimum allocation of water into different consumption sources. different parameters affect on input discharge into dams. climate variables including temperature and rainfall have the most effect on input runoff rate to w...

Journal: :iranian journal of basic medical sciences 0
ali tayarani department of electrical engineering, ferdosi university of mashad, mashad, iran ali baratian school of pharmacy, mashhad university of medical sciences, mashad, iran mohammad bagher naghibi sistani department of electrical engineering, ferdosi university of mashad, mashad, iran mohammad reza saberi school of pharmacy, mashhad university of medical sciences, mashad, iran zeinab tehranizadeh school of pharmacy, mashhad university of medical sciences, mashad, iran

objective(s): a fast and reliable evaluation of the binding energy from a single conformation of a molecular complex is an important practical task. artificial neural networks (anns) are strong tools for predicting nonlinear functions which are used in this paper to predict binding energy. we proposed a structure that obtains binding energy using physicochemical molecular descriptions of the se...

Journal: :international journal of transportation engineereing 2016
amin mirza broujerdian seyed peyman dehqani masoud fetanat

vehicle crashes are amongst the major causes of mortality and results in losses of lives and properties. alarge number of the vehicle crashes occur on rural roads. accidents become more noteworthy in two-laneroads due to going and coming traffic. therefore, prediction of crashes and their causes are considerablyimportant to reduce the number and severity of the accidents. the safety index is a ...

Journal: :journal of artificial intelligence in electrical engineering 2015
omid memarian sorkhabi

a back propagation artificial neural network (bpann) is a well-known learning algorithmpredicated on a gradient descent method that minimizes the square error involving the networkoutput and the goal of output values. in this study, 261 gps/leveling and 8869 gravity intensityvalues of iran were selected, then the geoid with three methods “ellipsoidal stokes integral”,“bpann”, and “collocation” ...

Journal: :مدیریت آب و آبیاری 0
طاهر رجایی استادیار، گروه مهندسی عمران، دانشکدۀ فنی و مهندسی، دانشگاه قم، قم، ایران هادی ابراهیمی کارشناس ارشد سازه های هیدرولیکی، گروه مهندسی عمران، دانشکدۀ فنی و مهندسی، دانشگاه قم، قم، ایران

simulation of groundwater fluctuations plays a crucial role in management of watersheds and water demand balancing. recently, wavelet analysis has been used widely in time series decomposition and coupling with neural networks for hydrological modeling. in this paper, the ability of the wavelet-dynamic artificial neural networks (w-ann) model was applied in forecasting one-month-ahead of ground...

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...

ژورنال: مهندسی دریا 2009
اردلان صمغی, حسین, محجوبی, جواد,

Prediction of wave parameters is necessary for many applications in coastal and offshore engineering. In the literature, several approaches have been proposed to wave predictions classified as empirical based, soft-computing based and numerical based approaches. Recently, soft computing techniques such as Artificial Neural Networks (ANNs) have been used to develop wave prediction models. In thi...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده مهندسی عمران 1391

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

ژورنال: مهندسی دریا 2013

Wind waves are one of the important, fundamental and interesting subjects in port and coastal engineering. Thus, within years, different methods such as experimental methods, numerical modeling and soft computing methods have been employed to estimate the wave parameters. In this study, waves height in Anzali port is predicted using soft computing models such as multivariate adaptive regressi...

سامی, تقی , شهرتاش, سید محمد , غلامی, احمد ,

The aging of insulating materials can be estimated by an electrical breakdown occurring in electrical components so that the relationship between lifetime, failure probability and reliability of electrical components may be studied using the life models in high voltage cables networks. In last decades with attention to higher features as electrical, thermal, mechanical characteristic, widely cr...

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