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Support vector machine (SVM) algorithm has shown a good learning ability and generalization ability in classification, regression and forecasting. This paper mainly analyzes the the performance of support vector machine algorithm in the classification problem, including the algorithm in the kernel function selection, parameter optimization, and integration of other algorithms and to deal with multi-classification...
In this paper, we consider joint optimization of end-to-end data transmission and resource allocation for Wireless-Infrastructured Distributed Cellular Networks (WIDCNs), where each base station (BS) in a cell is connected with its neighboring BSs via wireless links, and a mobile station (MS) can access one or multiple adjacent BSs simultaneously through time-varying OFDMA channels. The communications...
Multiple fault diagnostic strategy optimization problem arising in systems with redundancy is mainly considered. In systems with multiple faults and redundancy, the traditional fault diagnostic methods based on single fault assumption may have false and missed diagnosis. In order to conquer this problem, an optimization algorithm is presented. Firstly, the paper gives the formulation of the problem;...
In this paper we give a survey of multi-objective scheduling that have appeared in the literature or are to appear. Firstly, some basic concepts about multi-objective optimization and prevalent approaches for multi-objective optimization are given. Then, several multi-objective scheduling models are introduced and the comprehensive review of recent study on them is summarized. Finally, the trend of...
Uplink resource allocation in OFDMA cellular networks enhanced with two-hop fixed relays is studied in this paper. A resource optimization problem that maximizes sum uplink throughput of all users is formulated under path selection and PHY/MAC constraints. The dual decomposition method is adopted to solve the problem efficiently and optimally. Dual problem of the primal problem is decoupled into N...
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