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Based on rough set and basic theory of data fusion, the data fusion algorithm combining rough set theory and BP neural network is studied. Since rough set theory can effectively simplify information, cut down the tagged dimension . This paper will be rough set theory and neural networks combined, using channel capacity of knowledge relative reduction algorithms to simplify the input information. Rough...
By proposing a computational algorithm, this paper gives the upper bound on the number of hidden neurons to realize multi-valued functions defined on N-points. The architecture of the network is three-layer feedforward neural network with one hidden layer. The network is composed of multi-valued multi-threshold neurons. This upper bound can help us to determine the size of network when we design learning...
The research on information hiding theory is drawing more and more enthusiasm in recent times. This paper tries to solve theoretical problems about information hiding using vector space methods. Firstly, we project information hiding system into vector space. Then we give the significations of imperceptibility, embedding intensity, attack intensity and robustness in multi-dimension space. Subsequently,...
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