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In this study, two types of support vector regression (SVR) methods were employed to model the discharge coefficient of a modified triangular side weir.
The aim of this study is to model the discharge coefficient of a modified triangular side weir using three novel hybrid ANFIS methods, i.e., ANFIS-DE, ANFIS-GA and ANFIS-PSO.
To avoid the numerical complexities of the battery discharge law of electric-powered rotorcrafts, this study uses the Kriging method to model the discharge characteristics of Li-Po batteries under standard conditions.
In this paper, the particle swarm optimization algorithm and radial basis neural network are combined (RBFN-PSO) and employed to model the discharge coefficient of a modified triangular side weir.
An exact spherically symmetric solution for a unipolar corona in the domain between two spherical electrodes, was used to model the discharge gap between the flame boundary and the grid and also to calculate the VCC for comparison with the experimental results.
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To test the new ionization sub-model, the discharge process of a particular APPT, XPPT-1, is simulated, and a numerical result for the propellant utilization of 62.8% is obtained, which also agrees well with experiment.
In addition, sensitivity analysis is done to find the most efficient input variables for modeling the discharge coefficient of these types of side weirs.
According to the obtained results, the side weir included angle has the most effect on modeling the discharge coefficient.
The process includes modeling the discharge coefficient with the hybrid Adaptive Neuro-Fuzzy Interface System (ANFIS) and three optimization algorithms, namely Differential Evaluation (ANFIS-DE), Genetic Algorithm (ANFIS-GA) and Particle Swarm Optimization (ANFIS-PSO).
The results showed that the modified Maillet model was more suitable in the study catchment with Mangin model overestimating and Boussinesq model underestimating the discharge.
We coupled a computational fluid dynamics model, describing the fluid mechanics in dentinal microtubules, with a modified Hodgkin-Huxley model, describing the discharge behavior of intradental neuron.
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