This validation is also required for alternative SUV-derived methods, and this could be easily achieved through retrospective analysis of existing data sets.
Performance measures of the proposed work are compared with other methods, and this comparison proves that the proposed method yields very good results than other methods.
Current industrial practice for the prediction and analysis of flutter relies heavily on linear methods and this has led to overly conservative design and envelope restrictions for aircraft.
Ciresan et al. combined multiple DNN columns by averaging their outputs that were trained on inputs with different standard preprocessing methods, and this MC-DNN algorithm outperformed the compared DL algorithms on several public image datasets [26].
The figure shows that the C avg total produced by the TB method is always smaller compared to that produced by the WB and the PB methods and this number decreases as the transmission range increases.
For this reason, there is a difference in what academics are researching and what many companies are doing in terms of agile methods and this could be investigated in the future.
It was possible to estimate kinetic parameters by using three different kinetic methods and this allowed us to compare the E a values obtained from different experimental data, TG and DSC.
Also since production is done in an uncertain environment, every decision-making should be done by fuzzy methods and this fuzzy output can be completely useful in such situation.
It is also shown how the pdf method can be solved numerically via Monte-Carlo methods, and this is demonstrated via two applications in a partially stirred reactor: precipitation via nucleation growth and coagulation.
CNFs treated by the electrochemical method have a more positive ORR onset reduction potential and peak potential compared with those treated by chemical and thermal methods, and this is because the microstructures of CNFs are less changed by electrochemical method.
For two precursors of LST and TEC, the ANFIS method shows very good agreement with the other implemented classical and intelligent methods and this indicates that ANFIS is capable of detecting earthquake anomalies.
