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Sparse representation based classification has recently been shown to provide excellent results in many object recognition and classification tasks. The high cost of computing, however, is a major obstacle that limits the applicability of these methods in battlefield information process scenarios where process time and computational power is restricted. In this paper, we study a fast and computationally...
For the nonlinear time delay features that exists in the wheat watering system of flour production industrial processes control, according to the RBF Neural Network (RBFNN) that has approaching any complicated nonlinear function relations and strong pattern recognition ability traits, the paper presents a dampening of wheat DMC system on the basic of RBFNN. The nonlinear model that has been identified...
Low-carbon, the only way to the sustainable development of all countries around the world, has become a hot topic. Carbon flux (FC) is closely related to many factors in ecological environment as an index of global carbon emissions. Therefore, it is very important to find effective methods to study the relationship between FC and environmental factors. A predicted model based on wavelet networks is...
The present situation about cavitation performance prediction of centrifugal pump is introduced. The primary methods of cavitation performance prediction for centrifugal pumps are summarized, including numerical simulation method and artificial neural network method. Based on the neutral network toolbox of MATLAB7.0, topological structures of artificial neural networks are determined and network models...
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