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… my works are divided to four parts. In Part I, the system model of linear differential equation is considered. First, … and velocities from noisy accelerations. In Part II, the model of pseudo-state space representation is studied for … are introduced without considering any system model, which can be applied to estimate the fractional order …
… my works are divided to four parts. In Part I, the system model of linear differential equation is considered. First, … and velocities from noisy accelerations. In Part II, the model of pseudo-state space representation is studied for … are introduced without considering any system model, which can be applied to estimate the fractional order …
… In this study, an Artificial Neural Networks (ANN) model was developed to estimate the transient changes in … flow rate and fluid inlet pressure. The validation of the model showed its excellent performance for predicting the … conditions (R2> 0.986). The performance of the RNA model is compared to the multiple linear regression model. …
… In this study, an Artificial Neural Networks (ANN) model was developed to estimate the transient changes in … flow rate and fluid inlet pressure. The validation of the model showed its excellent performance for predicting the … conditions (R2> 0.986). The performance of the RNA model is compared to the multiple linear regression model. …
… has been proposed based on a learning reconstruction model. The proposed method has been validated on a … to the RGD-D sensor. They also show that the proposed model allows to obtain better results compared to those …