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Any of the above mentioned input variables can be considered as an input variable.
To our knowledge, this is the first time that ANFIS has been used to predict coal flotation responses using an inclusive database of the mentioned input variables.
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Quadratic response model was used to: (1) study the relationship between the concentration of metal ions as the measured response to the input variables, which consist of wt.% solids, pH, time (aging), and dispersant dosage; and (2) find predictive models for the concentration of metal ions as a function of the above-mentioned input variables.
Moreover, it should be mentioned that in the linear kernel model a moderate amount of collinearity between the input variables was present (UR on 2 consecutive days, tacrolimus dose on 2 consecutive days) and that collinearity was not present between the two input variables of the RBF SVR model.
Select the input variables.
Three input variables, viz.
Input variables are not state variables.
The first input combination consists of five simple input variables.
Higher numbers relate to more input variables.
Figure 8 Membership function of input variables.
Allows modeling the dependency between input variables.
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