neural network

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。

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

本研究应线性迴归网路于梯度磁场的系统参数调整，这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.

为了进一步实现故障特性的辨识与跟踪,讨论了一网络对非线性故障模式进行在线逼近的鲁棒故障诊断方法。

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。