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In this paper, a SOM-based anomaly intrusion detection system is proposed, which can contract high-dimension data to lower, meanwhile keeping the primary relationship between clustering and topology. During the experiment, the theory of SOM is used to train three SOMs on the layers of system, process and network. Although our experiment environment is simpler than the real one, the result shows that...
The assessment model has been proposed with the neural network technology applied to the assessment research of the water environmental quality. The parameters in the model can be acquired on the basis of the sample data of the standard values and the relative levels from the environmental quality standards for surface water. Moreover, the assessment model has been applied to the water environmental...
In this paper, we proposed a nonlinear robust control design combined with neural network for a 3 degree of freedom (DOF) helicopter test-bed which may be subjected to unknown external disturbance and contains structure uncertainties. Regulation and tracking control design are proposed for the angles of elevation, pitch and travel axes. Numerical simulation results are provided to illustrate that...
In this paper, we propose an interval type-2 recurrent fuzzy neural system with asymmetric membership functions (AIT2RFNS). The proposed AIT2RFNS having the dynamic fuzzy rules and asymmetric fuzzy membership functions to enhance the performance of the interval type-2 fuzzy neural system. The AIT2RFNS is implemented as seven-layer network which consists of six feed-forward layers and a feedback layer...
Aiming at the difficult of the control system for activated sludge wastewater treatment, the intelligent control strategy based on soft-sensing is proposed. By using the method of soft-sensing and distribute neural network respective, the soft-sensing models are built. From the point of the growth and progentiting of the microbe, discusses and completes the intelligent control soft-sensing secondary...
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