Application of Wavelet Network Expert System in fault DiagnoApplication of Wavelet Network Expert System in fault Diagnosis for Generator Set of Ship Power Station;

Application of wavelet network for induction motor in direct torque control system operating at low speed;

Performance measurement for investment decision-making based on wavelet network model;

Adaptive control of hydraulic generator unit based on wavelet networks;

A novel algorithm of radar signal recognition based on histogram and wavelet networks;

Large-dimensional wavelet networks and its application in (predicting) yield of acrylonitrile;

Application of the wavelet neural network in PD fault diagnosis of electrical power transformers;

A condition detection method for cutting tools based on wavelet neural network(WNN) which collects multi-source feature parameters of cutting tools was proposed to realize on-line state detection based on the non-liner model of WNN.

A model of multiwavelet neural network is proposed according to the multiresolution analysis idea in multiwavelet space in this paper.

New nonlinear control algorithm based on adaptive wavelet net;

The paper introduces briefly the method of fault diagnosis based on wavelet net, then aiming at the fault in electronic system, set up and train the wavelet net by the way of qussi newton method, the following simulation is satisfactory; Further study indicates this method has its special advantage and a good application prospect in military system.

In order to improve the performance of fault diagnosis systems based on BP networks, a new method based on wavelet networks is presented which incorporated an algorithm of varying scal for training networks so as to accelerate the training process.

The paper introduce the principl of WNN algorithm,designs a BP-WNN algorithm based on entropy function,and applies the model to the pridiction of reservoir parameters of compact sandstone.