A new approach for time-variant probability density function of the maximal value of stochastic dynamical systems

2020 ◽  
Vol 415 ◽  
pp. 109525 ◽  
Author(s):  
Jian-Bing Chen ◽  
Meng-Ze Lyu
Integration ◽  
2016 ◽  
Vol 52 ◽  
pp. 51-61 ◽  
Author(s):  
Esmaeil Fatemi-Behbahani ◽  
Ebrahim Farshidi ◽  
Karim Ansari-Asl

2014 ◽  
Vol 936 ◽  
pp. 1857-1861
Author(s):  
Zhang Lin ◽  
Wang Xin ◽  
Zhang Qi

Increasingly serious environmental pollution,trying to find a effective method to control NOx emission become more importance. Under this background, this paper adopts the naïve Bayesian classifier method which built on the basis of the probability density function to forecasting the NOx emission of diesel engine. This paper proposes a new approach to weight the super-parent one dependence estimators, and uses the UCI datasets to verify the validity of the proposed method. Finally, apply this diagnosis technology to the collected WD615 diesel engine data. The comparison experiments with other algorithms demonstrate the effectiveness of the proposed method.


2020 ◽  
Vol 5 (6) ◽  
pp. 7041-7054 ◽  
Author(s):  
Shu-Bo Chen ◽  
◽  
Saima Rashid ◽  
Muhammad Aslam Noor ◽  
Rehana Ashraf ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document