نتایج جستجو برای: which are called artificial neural networks (anns)

تعداد نتایج: 6795163  

ژورنال: مهندسی دریا 2005
شفیعی فر, مهدی, مقیم, محمد نوید,

One of the most important issues in designing coastal and offshore structures is the prediction of wave and current forces on slender cylinders. Such forces are often considered as dominate loadings. Many analytical and empirical methods such as Morison equation have been suggested for estimation of waves and current forces. Such methods, however, have shown inaccuracies in predicting hydrodyna...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2010
najeh alali mahmoud reza pishvaie vahid taghikhani

production of highly viscous tar sand bitumen using steam assisted gravity drainage (sagd) with a pair of horizontal wells has advantages over conventional steam flooding. this paper explores the use of artificial neural networks (anns) as an alternative to the traditional sagd simulation approach. feed forward, multi-layered neural network meta-models are trained through the back-error-propaga...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده برق و الکترونیک 1390

there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...

Journal: :جنگل و فرآورده های چوب 0
هادی بیاتی دانشجوی دکتری مهندسی جنگل دانشکدة منابع طبیعی دانشگاه تربیت مدرس، نور، ایران اکبر نجفی دانشیار گروه جنگلداری دانشکدة منابع طبیعی دانشگاه تربیت مدرس، نور، ایران پرویز عبدالمالکی دانشیار گروه بیوفیزیک دانشکدة علوم زیستی دانشگاه تربیت مدرس، تهران، ایران

estimating of forest equipment productivity is an important aspect of managing cost in forestry, which leads to reduction of operations expenses. in other words, high capital cost in forest harvesting, is a good reason to argue forest engineering research and time modeling. this paper applied one of the artificial intelligence subsets, which are called artificial neural networks (anns), to pred...

Journal: :journal of paramedical sciences 0
yadulla manavy science and research branch, islamic azad university, tehran, iran mona zamanian-azodi proteomics research center, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran. samira gilanchi proteomics research center, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran. roghieh omidi proteomics research center, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran.

artificial neural networks are used in many smart apparatus and different fields such as signal processing pattern diagnoses, military systems, medicine, financial systems, and artificial intelligence. in this article using quality of neural networks in optimizing energy cost in moving limb and its effectiveness in organization a cognitive function founded by presenting an algorithm for use in ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده علوم انسانی 1389

rivers and runoff have always been of interest to human beings. in order to make use of the proper water resources, human societies, industrial and agricultural centers, etc. have usually been established near rivers. as the time goes on, these societies developed, and therefore water resources were extracted more and more. consequently, conditions of water quality of the rivers experienced rap...

Mahmoud Reza Pishvaie, Najeh Alali Vahid Taghikhani

Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-...

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...

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...

2000
Sandy D. Balkin J. Keith Ord

Artificial neural networks (ANNs) are an information processing paradigm inspired by the way the brain processes information. Using neural networks requires the investigator to make decisions concerning the architecture or structure used. ANNs are known to be universal function approximators and are capable of exploiting nonlinear relationships between variables. This method, called Automated A...

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