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In this paper, we present an approach to recognize the Machine-printed Mongolian characters by CNN (convolutional neural network). Firstly, a training set of traditional Mongolian characters is collected in advance. There are 85 categories in all and each category is trained and recognized by the CNN. And then, we set a CNN with seven layers. There are three convolution layers, two subsampling layers,...
The prediction of stock price movements is considered as a challenging task for financial time series analysis. The difficulty of predicting the trends lies in the dynamic temporality and noise in the stock data. The Echo State Network (ESN) is a popular time series prediction model that considers the temporality of the stock time series, but ESN often falls into the dilemma of over-fitting due to...
The real-time requirements of hardwired HEVC encoder demand that, at the grain of coding tree unit (CTU), the maximum computation should be reduced by a fast CU mode decision algorithm. In addition, to realize the parallel rate-distortion optimization (RDO) of different CU modes, the current CU mode decision should not use the auxiliary information from other CU modes. Considering the above constraints,...
Combat mission of battle plane is usually executed by plane fleet as a unit. Plane fleet can be divided into several team formations. Battle planes in different formations have different flight profiles, and cooperate with each other. The load conditions varied under different flight profiles. According to the influence of load conditions on battle plane's reliability, the flight profile conversion...
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