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Due to massive date to be monitored for Metro shield machine, in order to solve the problems of knowledge acquisition bottlenecks and complexity structure of network structure and long traing time which based on expert system and neural network fault diagnosis methods. This article will introduces rough set theory to the subway shield machine fault diagnosis, Propose a method which based on rough...
In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace flame in real time. In this paper, it introduces the BP neural network absorb the basic method of flame-picture's temperature, to study thoroughly discussed about the BP neural network model, and puts forward an improved BP neural network method, as for the method to calculate...
Tidal river is often intruded by salt water in dry season. The deterioration of water quality will lower the reliability of drinking water. Raw water systems, which include reservoirs, pump stations and pipelines, were constructed in costal cities. In order to guarantee the safety of drinking water, precise plans of raw water system must be drawn up. So it is necessary to predict salt water intrusion...
Brain-computer interface (BCI) system uses brain activity to control external devices such as computers and electronic devices. It is a novel kind of human computer interaction. BCI system can be regard as pattern recognition system, and the key point is classification of Electroencephalogram (EEG) signals under different mental tasks. Classification algorithms of BCI system include Fisher linear...
Drainpipe ultrasonic non-destructive testing is liable to be interfered with the external environment. So it is important to remove the noise signal effectively in drainpipe ultrasonic non-destructive testing. The testing system is constructed by self-adaptive wavelet neural networks which is using the wavelet and neural network algorithm. Better fitting signal is achieved by choosing Orthogonal Daubechies...
The neural network has powerful learning function and can lightly solve the nonlinear problem. This paper uses the back propagation neural networks to recognize the class of underwater air bubbles film. The experiment result shows that the accuracy rate can reach 80%, which indicates that the class can be effectively recognized with this method.
It is important to remove the noise signal effectively in non-destructive testing. Using the wavelet and neural network algorithm, the author constructed self-adaptive wavelet neural networks in the ultrasonic testing. Better fitting signal is achieved by choosing Orthogonal Daubechies wavelet neuron and optimized scale parameter. The simulation results showed less distortion and better noise cancellation,...
Artificial neural network (ANN), with its high performances in handling complex problems, has been widely used in medical image processing for clinical diagnostic application. In this paper, an ANN tooth decay diagnostic strategy was proposed and carefully experimented. A back propagation (BP) neural network was formed to analyze the X-ray image of patient's teeth. With inter-pixel autocorrelation...
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