The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与
网路学习成效息息相关者有二：网路架构与学习法则。
The radial basis function neural network (RBFNN) can be employed as an approximator to compensate the system uncertainties after effective learning.
与网路学习成效息息相关者有二：网路架构与学习法则。
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
一步实现故障特性的
识与跟踪,讨论了一种利用网络对非线性故障
行在线逼近的鲁棒故障诊断方法。
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均由互联网资源自动生成，部分未
过人工审核，其表达内容亦不代表本软件的观点；若发现问题，欢迎向我们指正。
