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