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Cognitive Radio (CR) is an efficient solution to spectrum scarcity as it can sense the spectrum Based on previous information about the spectrum evolution in time, thus predicting the future occupancy status. Framed within this statement, the method of spectrum prediction Based on a new type of recurrent neural network which called echo state network (ESN) and its improved form are proposed in this...
As more and more vehicles are being introduced into the urban streets every year, congestion has become a serious problem in the context of urban transport around the world. A desirable strategy to deal with such issues is to shift more people from personal vehicles to public transport by providing better service (comfort, convenience and so on). Travel time information is a vital component of many...
In order to solve the problem of the new airport passenger throughput forecast, a new forecast model which based on airport groups is put forward in this paper. In this model, the competition ability of airports and the important factors which affect passengers travel choice are introduced into it. Then by constructing passenger utility function, the new regional airport passenger throughput can be...
Some theoretical and experimental models have been considered for the prediction of the path loss in mobile communication systems. This paper presents an alternative method to model the path loss characteristics, taking into account data analytical methods to discover dependency pattern among propagation model parameters. We applied the concept of nonlinear multi-regression to predict path losses...
According to Jilin Ferroalloy Factory 10-ton AOD furnace actual smelting condition, analyzes the impact factor of AOD furnace molten iron endpoint temperature, by optimizing the neural network connection weights and structure, design prediction model of molten iron endpoint temperature based on RBF neural network, using LM algorithm and 50 furnaces actual production data to train the model, and predicts...
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