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。

This study describes the application of the feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis.

本研究应用线性迴归类神经网路于梯度磁场的系统参数调整，这种方法需要重覆量测与调整，因此所需时间非常短。

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辨识与跟踪,讨论了一种利用神经网络对非线性故进行在线逼近的鲁棒故诊断方法。

The responsion functions of the eddy street flowmeter and the turbine control the separation of the gas-liquid,it's arithmetic was based on BP neural network improved PID control.

文中提出利用涡街流量计和涡轮流量计的响应函数来控制气液分离,其控制算法是基于BP网络改进的PID控制算法。