On Choosing the Best Traversal Approach of Fault Tree Based on Neural Network
HU Yun-lan · Journal of Projectiles.Rockets.Missiles and Guidance · 2006
The price of the fault-tree analysis can be effectively reduced by the method of Binary Decision Diagrams (BDD). The ordering of the basic events is critical to the resulting size of the BUD, and ultimately affects the performance and benefits of this technique, so this is an optimal problem for choosing the traversal approach of fault tree. The Neural Network (NN) for choosing optimal traversal approach is modeled in this paper. The improvement of learning rate of error back-propagation algorithm is presented. The model and algorithm is verified by MATLAB simulation. Finally, the relative importance of the input nodes is analyzed.