2019
DOI: 10.1016/j.powtec.2018.11.060
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Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw wet granulation

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Cited by 83 publications
(39 citation statements)
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“…The results show that the errors in different order moments obtained by the CAT are larger than those obtained by the FVS. Similar behavior of errors is seen when maximum errors (17) in various order moments are compared, that is, the errors approximated by FVS are smaller than the CAT (see Table 2). It can be observed that the higher order moments obtained by the CAT show more weighted and maximum errors than the FVS.…”
Section: Casesupporting
confidence: 66%
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“…The results show that the errors in different order moments obtained by the CAT are larger than those obtained by the FVS. Similar behavior of errors is seen when maximum errors (17) in various order moments are compared, that is, the errors approximated by FVS are smaller than the CAT (see Table 2). It can be observed that the higher order moments obtained by the CAT show more weighted and maximum errors than the FVS.…”
Section: Casesupporting
confidence: 66%
“…The weighted errors in various order moments captured by the FVS are smaller than the CAT. Moreover, similar type of behavior is observed when maximum errors (17) in various order moments are found using numerical methods, that is, the FVS shows fewer maximum errors in different order moments as than the CAT (see Table 8). Again, it can be seen that the qualitative and quantitative errors in the numerical results obtained by the CAT may be due to the numerical diffusion as discussed in previous section.…”
Section: Casesupporting
confidence: 64%
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“…29 An ANN model is comprised of input, hidden, and output layers, which should be managed in a proper manner. 30 Fig. 1 presents the proposed model, consisting of a three-layer ANN with a tangent sigmoid transfer function (tansig) at the hidden layer and a linear transfer function (purelin) at the output layer.…”
Section: Ann-ga Modelmentioning
confidence: 99%
“…Population balance equations (PBEs) are widely used to model the dynamics of particulate processes such as aggregation, breakage, nucleation, etc. Many practical oriented applications of these processes can be found in various branches of pharmaceutical sciences, depolymerization, chemical engineering, etc. In this exercise, we mainly focus on the aggregation process that can be defined as the formation mechanism in which larger size particles are formed due to merging of smaller size particles.…”
Section: Introductionmentioning
confidence: 99%