نتایج جستجو برای: data envelopment analysis artificial neural network benchmarking

تعداد نتایج: 5126414  

2013
HAI YU

Due to the ambiguity of the results given by the referee in Martial art competition, the design of a set of fair and impartial, scientific and rational evaluation system is particularly important. This paper builds a fuzzy comprehensive evaluation model based on the fuzzy number theory. As this model has a high degree of subjectivity, this article combines RBF neural network model and data enve...

Journal: :پژوهش های حفاظت آب و خاک 0

infiltration rate is one of the most important soil physical parameters and is a basic input data in irrigation and drainage projects. although, a number of theoretical or experimental based equations are presented to describe this phenomenon but the evaluation of some new sciences such as artificial neural networks, for prediction of the phenomenon can be investigated. generally, the infiltrat...

Journal: Pollution 2015

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: :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: :medical journal of islamic republic of iran 0
saeid afshar hamadan payame noor university (pnu), tehran road, hamadan, iran fahimeh abdolrahmani emam hosein medical lab fereshte vakili tanha emam hosein medical lab mahin zohdi seif payame noor university of hamadan kobra taheri payame noor university of hamadan

abstract   background : leukemia is one of the mostcommon cancers in children, comprising more than a third of all childhood cancers. newly affected patients in usa are estimated as 10100cases, and if these cases are diagnosed late or proper treatment is not applied, then it can be mortal. because rapid and proper diagnosis of leukemia based on clinical or medicinal findings (without biopsy) is...

D. Modhej M. Sanei N. Shoja

Data Envelopment Analysis (DEA) has two fundamental approaches for assessing theefficiency with different characteristics; radial and non-radial models. This paper isconcerned the non-radial model of Russell which is a non linear model. Conventional DEAfor a large dataset with many inputs/outputs would require huge computer resources in termsof memory and CPU time. Artificial Neural Network (AN...

The artificial neural networks, the learning algorithms and mathematical models mimicking the information processing ability of human brain can be used non-linear and complex data. The aim of this study was to predict the breeding values for milk production trait in Iranian Holstein cows applying artificial neural networks. Data on 35167 Iranian Holstein cows recorded between 1998 to 2009 were ...

اسد آبادی, آذر, بهرامپور, عباس, حقدوست, علی اکبر,

  Background and Objectives : recent years, considerable attention has been paid to statistical models for classification of medical data according to various diseases and their outcomes. Artificial neural networks have been successfully used for pattern recognition and prediction since they are not based on prior assumptions in clinical studies. This study compared two statistical models, arti...

ژورنال: طب کار 2019

Background: Faculty members are one of the main factors in the higher education system, that high level of occupational stress caused by educational, research, and executive duties makes them exposed to burnout. The purpose of this study is Forecasting burnout of faculty members of Yazd Payame Noor University using artificial neural network technique. Methods: The present research is descripti...

2004
Jae H. Min Young-Chan Lee

This paper proposes a DEA-based approach to credit scoring. Compared with conventional models such as multiple discriminant analysis, logistic regression analysis, and neural networks for business failure prediction, which require extra a priori information, this new approach solely requires ex-post information to calculate credit scores. For the empirical evidence, this methodology was applied...

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