نتایج جستجو برای: artificial neural networks glucan nanoparticles

تعداد نتایج: 913396  

A multi-objective optimization (MOO) of two-element wing models with morphing flap by using computational fluid dynamics (CFD) techniques, artificial neural networks (ANN), and non-dominated sorting genetic algorithms (NSGA II), is performed in this paper. At first, the domain is solved numerically in various two-element wing models with morphing flap using CFD techniques and lift (L) and drag ...

F. Forughimanesh H. Bagherpour M. Abdollahian Noghabi M.E. Khorasani Fardvani S. Minaei

This paper reports on the use of Artificial Neural Networks (ANN) and Partial Least Squareregression (PLS) combined with NIR spectroscopy (900-1700 nm) to design calibration models for thedetermination of sugar content in sugar beet. In this study a total of 80 samples were used as the calibration set,whereas 40 samples were used for prediction. Three pre-processing methods, including Multiplic...

Improving time series forecastingaccuracy is an important yet often difficult task.Both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. In this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

A comprehensive set of ten artificial neural networks is developed to suggest optimal dimensions of type ‘C’ Bi-lobe tanks used in the shipping of liquefied natural gas. Multi-objective optimization technique considering the maximum capacity and minimum cost of vessels are implemented for determining optimum vessel dimensions. Generated populations from a genet...

Journal: :international journal of environmental research 2011
f. nejadkoorki s. baroutian

life style and life expectancy of inhabitants have been affected by the increase of particulate matter 10 micrometers or less in diameter (pm10) in cities and this is why maximum pm10 concentrations have received extensive attention. an early notice system for pm10 concentrations necessitates an accurate forecasting of the pollutant. in the current study an artificial neural network was used t...

Mechanical alloying technique is used for production of nanostructured soft magnetic alloys. In this work the back propagation (BP) artificial neural adopted to model the effect of various mechanical alloying parameters i.e. milling time and chemical composition, on the properties of Fe-Ni powders. Lattice parameter, grain size, lattice strain, coersivity and saturation intrinsic flux den...

Journal: :تحقیقات اقتصاد و توسعه کشاورزی ایران 0
سید یوسف حجازی استاد دانشکدة اقتصاد و توسعة کشاورزی، دانشگاه تهران فاطمه رجبیان غریب دانشجوی کارشناسی ارشد آموزش کشاورزی، دانشگاه تهران محمود امید استاد دانشکدة مهندسی فناوری کشاورزی، دانشگاه تهران

the aim of this study is quantity determining and evaluating of the quality position of teaching and learningprocess. so, the artificial neural networks were used for modeling nonlinear relationships to inspect and evaluate different models of service quality evaluation. the statistical population include 1070 peoples, which were master and phd students of faculty of agriculture of ferdowsiuniv...

Journal: :advances in mathematical finance and applications 0
meysam doaei assistant professor, department of management, esfarayen branch, islamic azad university, esfarayen, iran seyed hashem davarpanah school of information and communication technology, griffith university, brisbane, queensland, australia mahdi zamani sabzi senior expert at securities and exchange organization, tehran, iran

there is little consensus on the corporate diversification-efficiency relationship in the diversification literature. according to the corporate diversification, firms have a tendency to get more market share with diversifying in the local segment or in the international market. theoretically, a contradictory exists between the profitable strategy and the value reducing strategy in the diversif...

Journal: :desert 2008
a. m. 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...

Journal: :journal of advances in computer research 2015
zabihallah pargam yazdan jamshidi

the successful key of trading in the forex market is the selection of correct exchange in proper time based on an exact prediction of future exchange rate. foreign exchange rates are affected by many correlated economic, political and even psychological factors. therefore, in order to achieve a profitable trade these factors should be considered. the application of intelligent techniques for fo...

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