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In the framework of optimal law enforcement theory, the existed literatures have analyzed the acts of selective law enforcement under the static conditions. In this paper, we use incomplete information dynamic game model to analyze the process of dynamic game between law enforcers and potential offenders. The result shows that the potential offenders can get relevant enforcement information such as...
Network is more and more popular in the present society. Least squares support vector machine is a kind modified support vector machine for classification, which can solve a convex quadratic programming problem. Least squares support vector machine is presented to network intrusion detection. We apply KDDCUP99 experimental data of MIT Lincoln Laboratory to research the classification performance of...
It is significant to control network congestion by time series forecasting research for network flow. The hybrid method of particle swarm optimization algorithm and RBF neural network is applied to predict network flow and gain the desirable network flow prediction results. In the hybrid method, particle swarm optimization algorithm is selected and adjusted to the connection weights and the center...
Time series forecasting is the main method in network flow prediction. RBF neural network is capable of universal approximation, which not only has fast training velocity, but also can solve the local minima problem. Thus, network flow prediction technology based on genetic algorithm and RBF neural network is presented in the paper. And the training parameters are adjusted by genetic algorithm. Network...
Using the established evaluation indicator system of province-territory logistics development, we adopted the non-linear principal component analysis method to carry on the appraisal of the present situation of logistics service system in Heilongjiang Province, analyzed the level of logistics service system in different areas quantitatively. Then we proposed the Heilongjiang Province-territory logistics...
Fixed spectrum frequency assignment problem, known as a NP-hard problem, is frequencies available are fixed and the goal is to minimize the interference due to the reuse of frequencies. The problem is still very important in wireless communication networks. An improved heuristic method, tabu search with a special data structure named single-frequency violation and an initialization strategy along...
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