The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.

类神经路构与学习法则。

In order to further discuss the identification of fault after the detection, a nonlinear online neural network approximator is used to provide an estimate of the fault.

为了进一步实现特的识与跟踪,讨论了一种利用神经络对非线模式进行在线逼近的鲁棒诊断方法。