نتایج جستجو برای: artificial neural networks glucan nanoparticles

تعداد نتایج: 913396  

Journal: :journal of ai and data mining 2016
m. asghari h. nematzadeh

suspended particles have deleterious effects on human health and one of the reasons why tehran is effected is its geographically location of air pollution. one of the most important ways to reduce air pollution is to predict the concentration of pollutants. this paper proposed a hybrid method to predict the air pollution in tehran based on particulate matter less than 10 microns (pm10), and the...

Journal: :journal of agricultural science and technology 2014
a. farjam m. omid a. akram z. fazel niari

in this study, several artificial neural networks (anns) were developed to estimate seed and grain corn yields in parsabad moghan, iran. the data was collected by a face-to-face interview method from 144 corn farms during 2011. the energy ratios for seed and grain corns were calculated as 0.89 and 2.65, respectively. several multilayer perceptron anns with six neurons in the input layer and one...

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...

Journal: :journal of reports in pharmaceutical sciences 0
katayoun derakhshandeh department of pharmaceutics, faculty of pharmacy, kermanshah university of medical sciences, kermanshah 67149-67346, and nanosciences and technology research center, kermanshah university of medical sciences, kermanshah, iran maryam haghkhah mahmood amiri

9-nitrocamptothecin (9-nc) is a semisynthetic and a low soluble analogue of camptothecin alkaloids that target nuclear enzyme topoisomerase i. the unstable lactone form of 9-nc in biological fluids requires for its cytotoxic activity. to improve aqueous solubility and stability in biological media, 9-nc was loaded in polymeric nanoparticles. in this paper, we studied the effect of peg percent (...

Journal: :journal of industrial engineering, international 2011
m khashei f mokhatab rafiei m bijari s.r hejazi

computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. nowadays, despite the numerous time series forecasting models propos...

Journal: :international journal of agricultural management and development 2011
mohammad reza pakravan mohammad kavoosi kelashemi hamid reza alipour

in the present study iran’s rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. the results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as recurrent networks a...

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Common methods to determine the soil infiltration need extensive time and are expensive. However, the existence of non-linear behaviors in soil infiltration makes it difficult to be modeled. With regards to the difficulties of direct measurement of soil infiltration, the use of indirect methods toestimate this parameter has received attention in recent years. Despite the existence of various th...

2011
Daniela P Boso Sei-Young Lee Mauro Ferrari Bernhard A Schrefler Paolo Decuzzi

BACKGROUND Nanoparticles with different sizes, shapes, and surface properties are being developed for the early diagnosis, imaging, and treatment of a range of diseases. Identifying the optimal configuration that maximizes nanoparticle accumulation at the diseased site is of vital importance. In this work, using a parallel plate flow chamber apparatus, it is demonstrated that an optimal particl...

Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural netw...

A. Barazandeh A. Esmailizadeh M. Khorshidi-Jalali M.R. Mohammadabadi, O.I. Babenko

The artificial neural networks (ANN) are the learning algorithms and mathematical models, which mimic the information processing ability of human brain and can be used to non linear and complex data. The aim of this study was to compare artificial neural network and regression models for prediction of body weight in Raini Cashmere goat. The data of 1389 goats for body weight, height at withers ...

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