نتایج جستجو برای: genetic algorithm multiple linear regression

تعداد نتایج: 2493640  

Journal: :Proceedings of the ... International Conference on Business Excellence 2022

Abstract The aim of this work is to compare EU countries in their efforts implement the circular economy model and indicate EU’s strategic objectives area, by analyzing indicators within member states. To achieve this, a qualitative quantitative analysis following THE EUROSTAT database has been carried out: total waste recycling rate, rate construction demolition waste, electronic contribution ...

In this paper, the quantitative structure activity-relationship (QSAR) of the CCR2b receptor inhibitors was scrutinized. Firstly, the molecular descriptors were calculated using the Dragon package. Then, the stepwise multiple linear regressions (SW-MLR) and the genetic algorithm multiple linear regressions (GA-MLR) variable selection methods were subsequently employed to select and implement th...

Journal: :علوم دامی ایران 0
محمد صاحب هنر محمد مرادی شهربابک سیدرضا میرائی آشتیانی محمدباقر صیادنژاد

genetic trend for production traits were estimated in iranian holstein cattle using the first lactation data recorded by cattle breeding and dairy product improvement center of the state from 1991 to 2006. effect of some factors on genetic trend was investigated using data from 18 large herds. (co) variance components and genetic parameters were estimated, using five trait animal model and em-a...

Journal: :iranian journal of fuzzy systems 2012
mojtaba eftekhari mahdi eftekhari maryam majidi hossein nezamabadi pour

in this study, a multi-objective genetic algorithm (moga) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear multi-input multi-output (mimo) systems. in the process of non- linear system identi cation, structure selection, parameter estimation, model performance and model validation are important objectives. furthermore, se- curing low-level and high-level ...

Journal: :IEEE Trans. Pattern Anal. Mach. Intell. 1995
Yan Huang Kannappan Palaniappan Xinhua Zhuang Joseph E. Cavanaugh

Optic flow motion analysis represents an important family of visual information processing techniques in computer vision. Segmenting an optic flow field into coherent motion groups and estimating each underlyiiig motion is a very challenging task when the optic flow field is projected from a scene of several independently moving objects. The problem is further complicated if the optic flow data...

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, ...

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