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M.C.B., P.V., M.A., K.D., M.P., A.V. and K.M. were involved in the modelling analysis and interpretation of model results.
We will discuss the interpretation of model trees later.
These ranges were adopted in this study for interpretation of model performance.
Multi-criteria evaluation of ANN models is recommended for better interpretation of model efficiency.
Incorporation of catchment models into a Geographical Information System (GIS) has improved matters by streamlining data input and providing better interpretation of model outputs.
Some of the criteria for selection mentioned in Bracquemond and Gaudoin (2003) are simple and flexible expressions, physical basis for the distribution, interpretation of model parameter, and efficiency of estimators.
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Demographic modelling assumptions should be considered in the interpretation of models of chronic infectious diseases such as TB.
Study of the latter in cases when ice fails by mixed crushing and buckling is of interest for the design of offshore structures as well as for the interpretation of model-scale tests which often show buckling as a consequence of the use of relatively thin ice.
Hansen et al. have developed a method to allow for the interpretation of models built using kernel based learning algorithms.
An alternative approach for model execution is the interpretation of models directly without converting them into an HLL.
To enhance the interpretation of models involving richness, distance-based redundancy analyses of species composition data were performed.
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interpretation of pattern
interpretation of image
construction of model
understanding of model
interpretation of knowledge
translation of model
interpretation of system
interpretation of prediction
view of model
interpretation of figure
spoke of model
interpretation of one
interpretation of modelling
expression of model
the understanding of model
explanations of model
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