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Distribution demand forecast is one of the core of the logistics system planning. In this paper, to forecast distribution demand, a Grey Markov Model is presented by means of combining Grey system theory with dispersed Markov Chains theory. The model overcomes the influence of random fluctuation data on forecasting precision and widens the application scope of the grey forecasting. Results show that...
Digital Elevation Models (DEMs) have been widely applied to efficiently derive topographic attributes used in hydrologic modeling. However DEMs are not free of errors and limitation. This paper investigated the effects of digital elevation model resolutions (40 m, 50 m, 60 m, 70 m, 80 m and, 90 m) on elevation, number and area of subbasins and area of watershed. Bilinear interpolation method is utilized...
This paper realized the establishment of grey model for the uncertain part in terms of the analysis of current loop model in permanent-magnet synchronous motor (PMSM) close-loop control system in order to acquire improvement of current tracking character. Based on this model and the combination of torque constant value Kt in online identified strategy, this algorithm could enhance the calculation...
Although the genetic algorithm (GA) is powerful and not limited by restrictive assumptions about search space of optimization problems, it has a convergency problem when it is used to find the optimum point with high accuracy. The object of developing an intelligent GA is to improve this weakness. In this paper, the optimization procedures of an intelligent GA are investigated, the advantages of the...
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