نتایج جستجو برای: neural genetic model

تعداد نتایج: 2838028  

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In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. For this purpose used of monthly groundwater levels for modeling in the three observed wells located in the Sharif Abad watershed of Qom. To compare the results of the hybrid model of wavelet analysis-neural network (WNN), genetic programming (GP) multiple linear regression (MLR)...

Ever-increasing dependence of human life on energy has made this factor play a critically crucial role either potentially or actively in the functions of various economic sectors of countries. Therefore, the people in charge of any country should try to make exact forecasting of energy consumption and make correct planning about its consumption in a way to optimally control supply-demand parame...

Predicting stock prices is complicated; various components, such as the general state of the economy, political events, and investor expectations, affect the stock market. The stock market is in fact a chaotic nonlinear system that depends on various political, economic and psychological factors. To overcome the limitations of traditional analysis techniques in predicting nonlinear patterns, ex...

Organizations expose to financial risk that can lead to bankruptcy and loss of business is increased nowadays. This may leads to discontinuity in operations, increased legal fees, administrative costs and other indirect costs. Accordingly, the purpose of this study was to predict the financial crisis of Tehran Stock Exchange using neural network and genetic algorithm. This research is descripti...

Journal: :research in pharmaceutical sciences 0

p2x 7 antagonist activity for a set of 49 molecules of the p2x 7 receptor antagonists, derivatives of purine, was modeled with the aid of chemometric and artificial intelligence techniques. the activity of these compounds was estimated by means of combination of principal component analysis (pca), as a well-known data reduction method, genetic algorithm (ga), as a variable selection technique, ...

Journal: :pollution 2015
zahra zangeneh sirdari aminuddin ab. ghani nasim zangeneh sirdari

bedload transport is an essential component of river dynamics and estimation of its rate is important to many aspects of river management. in this study, measured bedload by helley- smith sampler was used to estimate the bedload transport of kurau river in malaysia. an artificial neural network, genetic programming and a combination of genetic programming and a neural network were used to estim...

Journal: :genetics in the 3rd millennium 0
kamran ghaedi yousef shafeghati mohammad hossein nasr esfahani

in this presentation, we review briefly on biogenesis of peroxisomes with regard to the recent findings on biogenesis. peroxisomes perform a range of various functions as oxidation of very long chain fatty acids, generation and removal of hydrogen peroxide, while peroxisomes have also been implicated in β-oxidation of aromatic and cyclic compounds, synthesis of plasmalogens, isoprenoids, lysine...

Journal: :international journal of civil engineering 0
h. ziari iust, tehran,iran h. divandari islamic azad university, nowshahr branch, department of engineering, nowshahr, iran

pavement permanent deformations due to lack of shear strength in mixture are a major reason of rutting. any simple test to determine mixtures resistance to permanent deformation isn’t distinguished in the 1st level of superpave mix design method and prevalent methods for evaluating mixture rut resistance are expensive and time-consuming. two aggregate types, gradations, asphalt cements and fill...

ژورنال: علوم آب و خاک 2010
آخوندعلی, علی محمد, امیری چایجان, رضا, زارع ابیانه, حمید, شریفی, محمدرضا, طبری, حسین, معروفی, صفر,

In mountainous basins, snow water equivalent is usually used to evaluate water resources related to snow. In this research, based on the observed data, the snow depth and its water equivalent was studied through application of non-linear regression, artificial neural network as well as optimization of network's parameters with genetic algorithm. To this end, the estimated values by artificial n...

Journal: :International Journal of Environment and Pollution 2006

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