Model-Based Dependability Evaluation Method for TTP/C Based Systems

Author(s):  
Pavel Herout ◽  
Stanislav Racek ◽  
Jan Hlavička
2011 ◽  
Vol 121-126 ◽  
pp. 4870-4874
Author(s):  
Miao Li ◽  
Hui Bin Gao

To meet the requirement of high tracking accuracy as well as develop more reasonable evaluation method, in this paper, the General Regression Neural Network (GRNN) has been applied to build the tracking error model of the theodolite. First, we analyze the nonlinear factors in the theodolite. Second, we discuss the principle of GRNN, including its structure, the function as well as its priors. Third, we build the tracking error model based on GRNN and verify the model through the different parameters. The result indicated that the network model based on GRNN has high accuracy and good generalization ability. It could instead the real system to a certain extent. The research in this paper has important value to the engineering practice.


2018 ◽  
Author(s):  
Emilie Palagi ◽  
Fabien Gandon ◽  
Alain Giboin ◽  
Raphaël Troncy

Author(s):  
Stefano Porcarelli ◽  
Felicita Di Giandomenico ◽  
Paolo Lollini ◽  
Andrea Bondavalli

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