A new fault diagnosis model of electric power grid based on rough radical basis function neural networks
Qiang Zhang · Power System Protection and Control · 2009
On the basis of giving a new type of attribute reduction method,a coupling recognition model is established which combines rough set and neural network closely and rebuilt in this paper.The simulation results illustrate that the model reduces subject factors in signal recognition and improves network's structure,and its recognizing effects are obvious and its classifying ability is strong,as well as the model is very error permissible and explicable.It has very wide foreground.