نتایج جستجو برای: linear regression models perform better on unseen data
تعداد نتایج: 9911205 فیلتر نتایج به سال:
Background and purpose: Nonlinear analysis methods for quantitative structure–activity relationship (QSAR) studies better describe molecular behaviors, than linear analysis. Artificial neural networks are mathematical models and algorithms which imitate the information process and learning of human brain. Some S-alkyl derivatives of thiosemicarbazone are shown to be beneficial in prevention and...
مقایسه روشهای شبکه عصبی مصنوعی و رگرسیونی برای پیشبینی هدایت هیدرولیکی اشباع خاکهای استان خوزستان
Direct measurement of soil hydraulic characteristics is costly and time-consuming. Also, the method is partly unreliable due to soil heterogeneity and laboratory errors. Instead, soil hydraulic characteristics can be predicted using readily available data such as soil texture and bulk density using pedotransfer functions (PTFs). Artificial neural networks (ANNs) and statistical regression are t...
Wave overtopping at breakwaters is one of their essential hydraulic characteristics when determining the design crest level. This study concentrates on developing a new practical formula on predicting wave overtopping, by implementing two different statistical models, Multiple Linear Regression model (MLR) and Generalized Linear Regression model (GLM). The models consider dependency of overtopp...
small area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. small area estimation is needed in obtaining information on a small area, such as sub-district or village. generally, in some cases, small area estimation uses parametric modeling. but in fact, a lot of models have no linear relationship between the small area average and the covariat...
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....
abstract flood is among phenomena which result considerable damages to resources and is a serious issue among hydrologists. the proper estimation of runoff is necessary for designating appropriate approaches for its control or optimal management. various problems have been reported in application of empirical models. the regional analysis of runoff with different return periods by applying wate...
most specialists in the field of foreign language teachingconsiderreading skill as an interactive process between the reader’s prior knowledge and the text.accordingly, the activation of prior knowledge for an effective comprehension is very important. it is generally agreed that the pre-reading phase is the stage where this type of interaction and activation may be enhanced throughcertain stra...
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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