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This letter presents a novel deep learning algorithm for feature extraction from the hyperspectral images. The proposed method takes advantage of the knowledge that the features of the spatial-spectral data naturally fall into an array of groups with respect to different spectral bands. Aiming to reduce the influence of redundant spectral bands adaptively using unlabeled hyperspectral data, we incorporate...
Firstly, we show that the C4.5 algorithm inherits all the advantages of the ID3 algorithm, at the same time, it overcomes the defect of ID3 algorithm such as can not deal directly with continuous attributes, tend to choose more attributes when using information gain attributes to confirm the test values; we introduced the basic thought, problem solving process, the theoretical basis and classification...
According to error and error rate, the phase plane divisional control (PPDC) applies different actions in the phase plane to make the control system up to the requirement. This controlling structure makes the system possess the features of closed-open loop. Furthermore, just as the PID control, itpsilas unnecessary to build up a mathematical model for the controlled object. This paper combines neural...
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