To achieve this model, different Adaptive Neuro-Fuzzy Inference System (ANFIS) models (by changing the training optimization algorithms) are designed.
Two different ANFIS networks (by changing the training optimization algorithms) were compared with evaluation of networks accuracy in bubble point pressure prediction and subsequently the suitable network was determined.
Though this is changing, the optimization of many Web sites for viewing by Internet Explorer -- particularly the Web sites of many banks -- seems to spell limited gains for alternative browsers.
We further demonstrate the effectiveness of our framework by changing the choices of the optimization scheme and the classifier to Non-dominated Sorting Genetic Algorithm (NSGA -II aNSGA -IIrt Vector MandineSupport) respectiVector
NR emission wavelengths can be adjusted by changing the solvent, so further optimization can be achieved for other applications if necessary.
In particular, a novel class of high free volume, glassy, ladder-type polymers, referred to as polymer of intrinsic microporosity (PIM), is a potential candidate for highly effective gas separation membranes comprising the capability for gas permeability and selectivity optimization by changing the polymer chain packing[16].
Regarding the previous studies, the innovations of the current study are: using new equations to calculate the cost of the equipment installed in an organic Rankine cycle; tri-objective optimization (cost, exergy efficiency, and thermal efficiency) by changing the five design variables; using three optimization methods NSGA-II, MOPSO, and MOEA/D to compare the results of these three methods.
using new equations to calculate the cost of the equipment installed in an organic Rankine cycle; tri-objective optimization (cost, exergy efficiency, and thermal efficiency) by changing the five design variables; using three optimization methods NSGA-II, MOPSO, and MOEA/D to compare the results of these three methods.
This study provides insightful information about how one can alter the deposition by changing the operating conditions and also benefits the optimization of pyroprocessing design.
Grey relational analysis was used to solve the multi-response optimization problem by changing the weightages for different responses as per the process requirements of quality or productivity.
