نتایج جستجو برای: multiple model
تعداد نتایج: 2720682 فیلتر نتایج به سال:
Reducing cost of material handling has been a big challenge for companies. Flexible manufacturing system employed automated guided vehicles (AGV) to maintain efficiency and flexibility. This paper presents a new non-linear mathematical programming model to group n machines into N loops, to make an efficient configuration for AGV system in Tandem layout. The model minimizes bot...
In the present study, two different data-driven models, artificial neural network (ANN) and multiple linear regression (MLR) models, have been developed to predict the 28 days compressive strength of concrete. Seven different parameters namely 3/4 mm sand, 3/8 mm sand, cement content, gravel, maximums size of aggregate, fineness modulus, and water-cement ratio were considered as input variables...
the aim followed in this study was to compare the performance of multiple regression vs neural network models to predict the activity of antioxidant enzymes super oxide dismutase (sod), cat alase (cat), ascorbate pero xidase (apx) and peroxidase (pox) in the shoots of wheat (triticum aestivum), alvand cultivar in a soil polluted with cadmium. the treatments consisted of four levels of cadmium (...
To understand the mechanism of Multiple Sclerosis (MS), an autoimmune demyelinating disease, the researchers developed an experimental animal model for MS, which is called EAE (Experimental Allergic Encephalomyelitis). There are several methods for inducing this animal model. In this research the active EAE, which is developed by injecting bovine myelin antigens into genetically susceptibl...
in this thesis, we consider a mathematical model of cancer with completely unknown parameters. we study the stability of critical points which are biologically admissible. then we consider a control on the system and introduce situations at which solutions are attracted to critical points and so the cancer disease has auto healing. the lyapunov stability method is used for estimating the un...
Introduction: Structural Equation Modeling (SEM) is a very general statistical modeling technique, which is widely used in the behavioral sciences. It can be viewed as a combination of path analysis, regression and factor analysis. One of the prominent features of this method is the ability to compute direct, indirect and total effects, as well as latent variable modeling. Methods: This sy...
Appropriate adaptation with the multiple sclerosis can help to reduce problems. One of the more effective and practical templates in nursing has more attentive to this topic is Roy Adaptation model. This study done with the purpose of study the effect of performance care plan based on the Roy Adaptation Model on effects of fatigue in multiple sclerosis patients. Methods: In this study, 80 pa...
in the new age, in regard to human success in education in the globalizing world, one can consider english proficiency and individual differences as two important issues. in efl settings, reading skill plays an important role in education. it seems that using multiple intelligences theory in efl classes which values individual differences by tapping different intelligences, can be rewarding. as...
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