Intelligent modeling of rheological and thermophysical properties of green covalently functionalized graphene nanofluids containing nanoplatelets

So it is recommended to train simple linear models like LASSO or SVM for such problems and perhaps the complex NNs are not necessary in some cases of practical prediction applications such as cooling or heating systems containing nanofluids. Furthermore, finding the optimal conditions is another crucial aspect of engineering problems. In this regard, a multi-criteria optimization of the hydrothermal characteristics of the nanofluid (i.e., to find the optimal cases with highest thermal conductivity and the relatively least viscosity) is conducted using the genetic algorithm coupled with a compromise programming approach.