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In this paper, we investigate the optimal cooperative range for communications secrecy in an ultra dense network where the source nodes and eavesdroppers (Eves) are randomly distributed. Assuming that all the source nodes inside of the cooperative range (a distance range centered at the target user) participate in cooperative transmission, analytical approximations of the secrecy outage probability...
Peculiarity-oriented mining (POM) is a new data mining method consisting of peculiar data identification and peculiar data analysis. Peculiarity factor (PF) and local peculiarity factor (LPF) are important concepts employed to describe the peculiarity of points in the identification step. One can study the notions at both attribute and record levels. In this paper, a new record LPF called distance...
In this paper, a wavelet-neural-network-based forecast model is developed for energy demand in China. Combining qualitative with quantitative analysis, we analyze some main factors affecting energy demand in China. A first order wavelet-neural network forecasting model with time-delay is established, including population, GDP, variation of industrial structure and energy consumption. The simulation...
This paper discusses whether artificial neural network combined with TD(lambda) method can be successfully applied to computer Chinese chess. Artificial neural network (ANN) is used to represent the evaluation function. Learning occurs by using TD(lambda) algorithm on the results of high-level database games. Experiments show that the proposed technique can improve the performance of computer Chinese...
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