Weiguo Zhao

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To comprehensively understand the characteristics of gas nanosensor between temperature and sensitivity, this paper has developed a Backward Propagation (BP) neural network based on Particle Swarm Optimization (PSO), which is applied to fitting the temperature-sensitivity characteristic of the SnO2 gas nanosensor mixed with benzene. The simulation results(More)
The art of tiling originated very early in the history of civilization. Almost every known human society has made use of tilings in some form or another. In particular, tilings using only regular polygons have great visual appeal. Decorated regular tilings with continuous and symmetrical patterns were widely used in decoration field, such as mosaics,(More)
Adaptive inertia weight is proposed to rationally balance the global exploration and local exploitation abilities for particle swarm optimization. This paper describes an adaptive strategy for tuning the inertia weight parameter of the PSO algorithm - Exponential type adaptive inertia weighted Particle Swarm Optimization (EPSO). This adaptive tuning(More)
Article history: Received: 9.11.2014. Received in revised form: 4.5.2015. Accepted: 7.5.2015. This paper presents an AdaBoost method based on RVM (Relevance Vector Machine) to detect and locate an interturn short circuit fault in the stator windings of IM (Induction Machine). This method is achieved through constructing an Adaboost combined with a weak RVM(More)
Dynamic optimization of electromechanical coupling system is a multi-subject problem on mechanics theory. The optimization of such kind problem is studied. Particle swarm optimization (PSO) is introduced. In order to resolve the insufficiency, a new kind of adaptive leap particle swarm optimization (ALPSO) is presented and the astringency analysis is(More)
With the rapid development of advanced technology in VLSI circuit designs, many processors could provide dynamic voltage scaling (DVS) to save power consumption when the supply voltage is allowed to be lower. In this paper, we propose a multiprocessor-oriented power-conscious scheduling algorithm for the real-time periodic tasks with task migration(More)
The dual-objective optimization of surface discussed in this paper means that the optimal surface is not only smoothing but also corresponded to the shape of the back of the body. Since surface can be built with family of curves which are optimized with the same two objectives, the mathematical model of surface's constructional curve is critical to the(More)