نتایج جستجو برای: some black box models based on artificial neural networks ann

تعداد نتایج: 10232785  

Journal: :محیط شناسی 0
علیرضا عرب عامری دانشگاه تربیت مدرس کورش شیرانی مرکز تحقیقات اصفهان جلال کرمی دانشگاه تربیت مدرس عبدالله کلوراژان دانشگاه تربیت مدرس

introductapplication of neural network of multi layers perceptron (mlp) in site selection of municipal solid ‎waste landfilling with emphasis on hydrogeomorphic characteristics (case study: fereydoonshahr city)‎introduction‏:‏cities are at the nexus of a further threat to the environment, namely the production of an increasing ‎quantity and complexity of wastes. the estimated quantity of munici...

2007
Patrick Bartels Michael H. Breitner

Today’s theoretic, i.e. stochastic, option valuation models, inherently base on unrealistic assumptions. Especially the adequate estimation of a volatility measure is discussed controversially. Several studies show that the issuer’s individual volatility measure is used to exploit the consumer surplus. Moreover, not only the well-known inputs but also "hidden" inputs affect option market prices...

Free swelling index (FSI) is an important parameter for cokeability and combustion of coals. In this research, the effects of chemical properties of coals on the coal free swelling index were studied by artificial neural network methods. The artificial neural networks (ANNs) method was used for 200 datasets to estimate the free swelling index value. In this investigation, ten input parameters ...

Accurate simulation runoff process can have a significant role in water resources management and related issues. The inherent complexity of  this process makes difficult the use of physical and numerical models. In recent years, application of intelligent models is increased a powerful tool in hydrological modeling. The aim of this study was the application of the Gamma test to select the optim...

2012
Aman Kumar Tarandeep Singh

Organizations gathering massive data warehouses in which data is stored as historical facts. But very few companies have been capable to recognize the concrete value stored in it. The main requirements of these companies are asking is how to extract the meaningful information. The only response in positive direction is Data mining. Several technologies available to data mining practitioners, in...

Journal: :محیط شناسی 0
علی اسکندری مربی گروه مهندسی عمران و محیط زیست، دانشکدة فنی، دانشگاه آزاد اسلامی بوشهر روح اله نوری دانشجوی دکترای گروه مهندسی عمران و محیط زیست، دانشکدة فنی، دانشگاه آزاد اسلامی بوشهر حامد معراجی دانشجوی دکترای گروه مهندسی عمران و محیط زیست، دانشکدة فنی، دانشگاه آزاد اسلامی بوشهر امین کیاقادی دانشجوی کارشناسی ارشد مهندسی محیط زیست دانشکدة فنی، دانشگاه آزاد اسلامی بوشهر

recently, hardware sensors are widely used in monitoring and measurement of water quality parameters. constraint of the instrument to measure some water quality parameters such as the 5-day biochemical oxygen demand (bod5), which are time consuming, causes efforts are diverted to the use of software sensors for online prediction of bod5. the main goal of this research is developing an appropria...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ارومیه 1377

the methods which are used to analyze microstrip antennas, are divited into three categories: empirical methods, semi-empirical methods and full-wave analysis. empirical and semi-empirical methods are generally based on some fundamental simplifying assumptions about quality of surface current distribution and substrate thickness. thses simplificatioms cause low accuracy in field evaluation. ful...

Journal: Desert 2008
A. Kalteh P. Hjorth

Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...

2018
MATTIAS NILSSON ERIK SANDBERG

The least squares Monte Carlo (LSMC) approach is commonly used in the estimation of the solvency capital requirement (SCR), as a more computationally efficient alternative to a full nested Monte Carlo simulation. This study compares the performance of artificial neural networks (ANNs) to that of the LSMC approach in the estimation of the SCR of various financial portfolios. More specifically, f...

Journal: :علوم دامی 0
حمیدرضا میرزایی دانشیار ، دانشگاه پیام نور، مشهد، ایران محمّد صالحی دیندارلو دانش آموخته کارشناسی ارشد علوم دامی، دانشگاه زابل

three artificial neural networks (ann) models; general regression neural network (grnn), redial basis function (rbf) and three layer multiple perceptron network were carried out to evaluate the prediction of the apparent metabolizable energy (ame) of wheat and corn from its chemical composition in broiler. input variables included: gross energy (ge), crude protein (cp), crude fiber (cf), ether ...

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