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In all those models a multiple hidden layer architecture has been used.
In all such models, a multiple hidden-layer architecture has been used.
For both models, a multiple regression approach was taken to predict Hm from age, Site Index, environmental data and RapidEye spectra and indices.
In the present paper three different data mining techniques are used to obtain the various data-driven forecasting models: a multiple linear regression (MLR) [32], a least absolute shrinkage and selection operator (LASSO) [32], and a random forest [33].
Two models, a multiple linear regression with BET and pH, and a partial least square regression-based model, were successfully developed and externally validated enabling to accurately predict Kd (RSm) values directly from soil properties.
Data collected during three years in an urban area of the Adriatic coast are analysed using three models: a multiple linear regression model, a neural network model with and without recursive architecture.
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(2) Combined with the basic facilities location models, a multiple-objective programming model for SPR storage site location that satisfies the limitations of a set of constraints, such as reserve scale, storage capacity, and emergency periods, is introduced.
Two models, a multiple-trait and a reaction norm model were tested.
For efficient analysis, simulation, and calibration (e.g., the estimation of parameter values) of biological network models a multiple-purpose and efficient numerical solver library is prerequisite.
Furthermore, in order to validate the performance of the non linear model, a multiple regression model with all two-way interactions between variables significantly correlated with EWL, was computed.
To describe such relationship, we modeled a multiple linear regression equation where the SSI was associated to the different topological metrics of the initial networks.
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