ARTÍCULO
TITULO

A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction

Greer B. Kingston    
Holger R. Maier and Martin F. Lambert    

Resumen

No disponible

 Artículos similares

       
 
Suxun Shu, Jiajun Qian, Wenhui Gong, Zhiquan Yang and Kang Pi    
Aiming at the problem that the non-probabilistic reliability analysis method of slope engineering, which is based on an interval model, cannot consider the cross-correlation of geotechnical parameters, a non-probabilistic reliability analysis method of s... ver más
Revista: Applied Sciences

 
Guo Li, Junbo Liu, Liu Yang, Huimin Zhou and Shuiting Ding    
The probabilistic damage tolerance analysis of aeroengine rotor disks is essential for determining if the disk is safe. To calculate the probability of failure, the numerical integration method is efficient if the integral formula of the probability dens... ver más
Revista: Aerospace

 
Guo Li, Shuchun Huang, Wanqiu Lu, Junbo Liu, Shuiting Ding, Gong Zhang and Bo Zhen    
Probabilistic failure risk analysis of aeroengine life-limited parts is of great significance for flight safety. Current probabilistic failure risk analysis uses equal amplitude load calculations for conservative estimation, avoiding inclusion of the int... ver más
Revista: Aerospace

 
Guo Li, Yida Teng and Huimin Zhou    
Aero engine compressor disks are typically life-limited parts and it is necessary to secure them through the implementation of an engineering plan and a manufacturing plan. Specifically, the engineering plan recommends the quantification of the safety of... ver más
Revista: Aerospace

 
Hao Zou, Jing-Sen Cai, E-Chuan Yan, Rui-Xuan Tang, Lin Jia and Kun Song    
Due to the spatial variability of hydraulic properties, probabilistic slope seepage analysis becomes necessary. This study conducts a probabilistic analysis of slope seepage under rainfall, considering the spatial variability of saturated hydraulic condu... ver más
Revista: Water