The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经网路
成效息息相关者有二：类神经网路架构与法则。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与类神经网路成效息息相关者有二：类神经网路架构与法则。
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.
为了进一步实现故
特性的
识与跟踪,讨论了一种利用神经网络对非线性故模式进行在线逼近的鲁棒故
方法。
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