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A novel polarimetric synthetic aperture radar (PolSAR) image classification method based on Deep Belief Networks (DBNs) is proposed in this paper. First, the coherency matrix data are converted to a 9-dimentional data. Second, many patches are randomly selected from each dimension in the 9-dimentional data, and many filters can be obtained from a Restricted Boltzmann Machine (RBM) trained by using...
Considering training time of traditional BP neural network is too long and it can not solve the problem that input vector is multiple-valued, a new method based on rough BP neural network for fault diagnosis is presented. The approach is realized by applying PSO (particle swarm optimization) to discretize continuous attributes, using property of dependency of rough set to carry through attribute reduction...
The nonlinear model predictive control method is applied to design emergency voltage controller. Based on quasi-steady-state approximation, the receding dynamic optimization model is established which subjected to differential-algebraic equations with continuous-discrete time variables. To enhance computational efficiency and control precision of solving this dynamic optimization model, direct dynamic...
Image segmentation is the key step from image processing to image analysis. Ostu thresholding, which features a good performance, is one of the main image threshold segmentation methods. Like other threshold methods, the application of the Otsu has been restricted for the long-paying computation. In order to overcome the disadvantages and get better results, a new method based on quantum particle...
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