نتایج جستجو برای: multiple regression models

تعداد نتایج: 1791298  

Journal: :Statistical Analysis and Data Mining: The ASA Data Science Journal 2012

Afsane Heidari Hanieh Malekzadeh Mohammad Hossein Fatemi,

In this work some quantitative structure activity relationship models were developed for prediction of three bioenvironmental parameters of 28 volatile organic compounds, which are used in assessing the behavior of pollutants in soil. These parameters are; half-life, non dimensional effective degradation rate constant and effective Péclet number in two type of soil. The most effective descripto...

Journal: :iranian journal of oil & gas science and technology 2015
sadegh baziar mohammad mobin gafoori seyed mehdi mohaimenian pour majid nabi bidhendi reza hajiani

klinkenberg permeability is an important parameter in tight gas reservoirs. there are conventional methods for determining it, but these methods depend on core permeability. cores are few in number, but well logs are usually accessible for all wells and provide continuous information. in this regard, regression methods have been used to achieve reliable relations between log readings and klinke...

Journal: :international journal of environmental research 2015
s. yildiz m. degirmenci

in general, amount of sludge will definitely increase in near future and composting processes, optimum composting conditions and compost use as fertilizer and soil amendment will then be significant research topics. the present study was conducted for o2 parameter estimation by multiple regression and artificial neural networks methods. daily temperature, ch4, h2s, co2 and o2 measurements were ...

Journal: :مهندسی معدن 0
رضا میکائیل دانشگاه صنعتی شاهرود محمد عطایی دانشگاه صنعتی شاهرود رضا یوسفی دانشگاه صنعتی شریف

rock sawability prediction and determination of effective parameters are important in the cost estimation and the planning of the stone factories. an accurate estimation of rock sawability and performance prediction of sawing machine helps to make the planning of the rock sawing projects more efficient. it is necessary to predict the rock sawability and determine the effective parameters to ach...

Journal: :international journal of agricultural science, research and technology in extension and education systems 2011
karimi-googhari, sh

accurate estimation of evaporation is important for design, planning and operation of water systems. in arid zones where water resources are scarce, the estimation of this loss becomes more interesting in the planning and management of irrigation practices. this paper investigates the ability of artificial neural networks (anns) technique to improve the accuracy of daily evaporation estimation....

Journal: :CoRR 2009
Patrice Lopez Laurent Romary

This paper presents the system called PATATRAS (PATent and Article Tracking, Retrieval and AnalysiS) realized at the Humboldt University for the IP track of CLEF 2009. Our approach presents three main characteristics: 1. The usage of multiple retrieval models (KL, Okapi) and term index definitions (lemma, phrase, concept) for the three languages considered in the present track (English, French,...

Journal: :آب و خاک 0
یاسر استواری کامران عسگری حمیدرضا متقیان

introduction: estimation of cation exchange capacity (cec) with reliable soil properties can save time and cost. pedotransfer function (ptf) is a common method in estimating certain soil properties (e.g. cec) that has been wieldy used for many years. one of the common techniques that have been used to develop ptfs is multiple linear regressions. in this method, all easily obtained soil properti...

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