نتایج جستجو برای: neural network models

تعداد نتایج: 1636460  

Journal: :مهندسی بیوسیستم ایران 0
محمد گنجه دانشگاه علوم کشاورزی و منابع طبیعی گرگان سید مهدی جعفری دانشگاه علوم کشاورزی و منابع طبیعی گرگان سجاد قادری دانشگاه فردوسی مشهد

in this research, pomegranate arils are dehydrated by osmotic dehydration in 40, 50, and 60 % sucrose ‎solutions and at 45, 55 and 65 degrees c‎‏ ‏‎ and weight reduction, solids grain and water loss of the products ‎were measured at 60, 120 and 180 minutes of process. osmotic dehydration processes was modeled by ‎combination of neural network and fuzzy logic techniques (neuro-fuzzy) and respons...

Journal: :اکو هیدرولوژی 0
سید جواد ساداتی نژاد دانشیار دانشکدۀ علوم و فنون نوین، دانشگاه تهران محمدرضا شکاری دانشجوی دکتری بیابان زدایی، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه کاشان عباسعلی ولی دانشیار دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه کاشان

many of the meteorological variables such as precipitation, strongly depend on the large scale atmospheric and ocean surface circulations.in the current study, the effect of climatic signals on the average monthly rainfall of the adjacent stations of sheshdeh and gharebolagh area was investigated during the statistical period twenty five years from 1985 to 2009. the regression and neural networ...

Journal: :آب و خاک 0
علی داننده مهر محمدرضا مجدزاده طباطبائی

abstract accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have bee...

ژورنال: تحقیقات موتور 2018

Today, employing model based design approach in powertrain development is being paid more attention. Precise, meanwhile fast to run models are required for applying model based techniques in powertrain control design and engine calibration. In this paper, an in-cylinder process model of a CVVT gasoline engine is developed to be employed in extended mean valve control oriented model and also mod...

Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally a complex issue with numerous effective factors including variable and unreliable conditions of the rocks and cutting machines. The Group Method of Data Handling (GMDH) type of neural network and Radial Basis Functi...

اسماعیلی, محمدهادی , اسمعیلی, جواد , قائمیان, علی , محمد پور تهمتن, رضا علی,

Background and purpose: Since the human health is an essential issue in medical sciences, accurate predicting the individual's disease status is of great importance. Therefore, predicting with models minimum error and maximum certainty should be used. This study used artificial neural network model for predicting coronary artery disease (CAD) because it is more precise Comared to after models. ...

Journal: Desert 2018
A. Moghimi A. Zeinadini Meymand, F. Ebrahimi Meymand M. Amir pour M. Bagheri Bodaghabadi M.N. Navidi

This study was conducted to rate the land characteristics of corn in hot areas based on artificial neural networks and regression models. For this purpose, 63 corn fields were selected in southern Iran. In each farm, a pedon was excavated, described and sampled. A questionnaire was completed for each farm. A stepwise regression model was used to study the relationship between land characteristi...

Utilization of membrane humidifiers is one of the methods commonly used to humidify reactant gases in polymer electrolyte membrane fuel cells (PEMFC). In this study, polymeric porous membranes with different compositions were prepared to be used in a membrane humidifier module and were employed in a humidification test. Three different neural network models were developed to investigate several...

Akhoondzadeh, Mahdi , Ranjbar, Sadegh,

Surface soil moisture is an important variable that plays a crucial role in the management of water and soil resources. Estimating this parameter is one of the important applications of remote sensing. One of the remote sensing techniques for precise estimation of this parameter is data-driven models. In this study, volumetric soil moisture content was estimated using data-driven models, suppor...

ژورنال: آبخیزداری ایران 2019

For suitable programming and management of water resources, access to perfect information from the discharge at the watershed outlet is essential. In most watersheds, the hydrometric station is not available; then, different models are used to simulate the discharge within watersheds without data. The selection of preferred model for rainfall- runoff simulation depends to the purpose of modelin...

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