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In this paper, we propose an indoor positioning system (IPS) that achieves centimeter accuracy in a complex indoor environment using time-reversal (TR) technique with a single pair of off-the-shelf multi-antenna WiFi devices. The proposed IPS can work under both line-of-sight (LOS) and non-line-of-sight (NLOS) environment. Leveraging the spatial diversity on the multi-antenna WiFi device, the proposed...
In this paper, a method of gas outburst prediction based on D-S evidence theory was presented. The hierarchical analysis method was used to order the weight of the indicators of gas outburst at first, then using the neural network and traditional forecasting methods to predict respectively, finally, these prediction results were fused by D-S evidence theory, and the final result will be obtained....
Economic security has been a serious problem which threatens and hampers the sustainable growth of the economy. The paper sets up appraising indicator system of economic security on the basis of PSR model, and researches economic security for 21 coal cities by using BP artificial neural net. As innovation of researching economic security, BP artificial neural net has the better ability in level identification,...
When action rules of agents are created by evolutionary computation, it generally aims to create optimal individual which represents optimal rules. On the other hand, genetic network programming (GNP) with rule accumulation extracts a large number of rules throughout the generations and store them in the rule pools. In other words, the individuals of GNP with rule accumulation are regarded as rule...
The key in stock trading model is to take the right actions for trading at the right time, primarily based on accurate forecast of future stock trends. Since an effective trading with given information of stock prices needs an intelligent strategy for the decision making, we applied genetic network programming (GNP) to creat a stock trading model. In this paper, we present a new method called real...
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