The result shows that RBF networks has very high learning convergence speed and better classifying performance. RBF networks has good practicality in the field of equipment fault diagnosis.
应用结果表明，RBF网络训练速度快、分类性能良好，在设备故障诊断领域具有很好的实用性。
2
Neural networks has the properties of a complex dynamic system, the prerequisite condition of it been used in many field is that it has some qualitative properties such as stability, convergence.