نتایج جستجو برای: artificial neuronal network

تعداد نتایج: 981848  

A. Farshbaf Geranmayeh, H. R. Rezaei, R. Sahraeian,

In this paper, a reliability approach on reconfiguration decisions in a supply chain network is studied based on coupling the simulation concepts and artificial neural network. In other words, due to the limited budget for warehouse relocation in a supply chain, the failure probability is assessed for determining the robust decision for future supply chain configuration. Traditional solving ...

Journal: :علوم دامی 0
فاطمه سارانی دانش آموخته کارشناسی ارشد، دانشگاه زابل حمیدرضا میرزایی دانشیار ، دانشگاه زابل مصطفی یوسف الهی استادیار، دانشگاه زابل کاوه اکبرزاده مربی، دانشگاه امام رضا علیه السلام محمد صالحی دیندارلو دانش آموخته کارشناسی ارشد

to determine the amount of food amino acid and to spend time in the laboratories are expensive & time-consuming due to a chemical analysis. in the current laboratories, digestion nirs method is widely used for this purpose. but this method has technical limitation. therefor is important find appropriate method for estimate amount of amino acids. artificial neural network (ann) can provide a bet...

Journal: :international journal of data envelopment analysis 2014
s. dolatabadi h. rezai zhiani

the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.

Journal: :international journal of advanced biological and biomedical research 2013
amir hossein hashemian behrouz beiranvand mansour rezaei abdolrasoul bardideh eghbal zand-karimi

cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. in recent decades, artificial neural network model has been increasingly applied to predict survival data. this research was conducted to compare cox regression and artificial neural network models in prediction of kidney transplant survival. the prese...

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...

Journal: :journal of mining and environment 2014
saeed alishahi ahmad darban mahmood abdollahi

since a high toxicity of cyanide which use as a reagent in the gold processing plant, thiosulfate has been recognized as a environmental friendly reagent for leaching of gold from ore. after gold leaching process it's important for recovery of gold from solution using adsorption or extraction methods, one of these methods is activated carbon.the loading of gold from industrial thiosulfate solut...

Journal: :iran agricultural research 2015
r. rasekhi m. h. raoufat

abstract- the high production of orange fruit in iran calls for quality sorting of this product as a requirement for entering global markets. this study was devoted to the development of an automatic fruit sorter based on size. the hardware consisted of two units. an image acquisition apparatus equipped with a camera, a robotic arm and controller circuits. the second unit consisted of a robotic...

Journal: :geopersia 2015
mohammad hossein ghobadi sajeddin mousavi mojtaba heidari behrouz rafie

this study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from kouzestan province. the regression analyses as well as artificial neural network (ann) are also applied to evaluatethe correlations. the results of simple regression analyses show no correlation between mineralogical features and tensile strength.however,...

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