نتایج جستجو برای: multiple non linear regression

تعداد نتایج: 2516177  

ژورنال: علوم آب و خاک 2011
پریسا صابری, , سید محمود رضا بهبهانی , , علی رحیمی خوب, , محمدهادی نظری فر, ,

In this study, the remote sensing statistical approach was used to determine the global solar radiation from NOAA-AVHRR satellite data in southeast of Tehran. This approach is based on the linear correlation between a satellite derived cloud index and the atmospheric transmission measured by the clearness index on the ground. A multiple linear regression model was also used to convert the five ...

Journal: :international journal of environmental research 0
j. trögl faculty of the environment, jan evangelista purkyně university in ústí nad labem, králova výšina 3132/7, ústí nad labem, 400 96, czech republic k. benediktová faculty of the environment, jan evangelista purkyně university in ústí nad labem, králova výšina 3132/7, ústí nad labem, 400 96, czech republic, empla s.r.o, za škodovkou 305, hradec králov&ea

the acute ecotoxicity of a set of mixture samples (washing powders, wastes, fuel extracts etc.) was assessed using four acute ecotoxicity assays with aquatic organisms (daphnia magna, poecilia reticulata, artemia salina and desmodesmus subspicatus). the experimental concentration-response curves were fitted by seven two-parameter sigmoid equations using non-linear regression. the regression per...

F. Khademi , K. Behfarnia,

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...

Journal: :Communications for Statistical Applications and Methods 2012

Journal: :International Journal of Electrical and Computer Engineering (IJECE) 2020

Journal: :IOP Conference Series: Materials Science and Engineering 2021

Journal: :Journal of Physics: Conference Series 2021

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