This paper aims to obtain empirical information about the behavior of an Evolutionary Product-Unit Neural Network (EPUNN) in different scenarios. To achieve this, an extensive evaluation was conducted on 21 data sets for the classification task. Then, we evaluated EPUNN on eleven noisy data sets, on sixteen imbalanced data sets, and on ten missing values data sets. As a result of this evaluatio...

in the computational fluid dynamics (cfd) modeling of gas-solids two phase flow, the effect of boundary conditions play an important role in predicting the hydrodynamic characteristics of fluidized beds. in this work, the hydrodynamics of conical fluidized bed containing dried tio2 nano-agglomerates were studied both experimentally and computationally. the pressure drop was obtained by pressure...