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Focusing on the non-stationary characteristic of the fault signal of subway auxiliary inverter, this paper proposes the method that combines ensemble empirical mode decomposition (EEMD) with genetic algorithm to optimize BP neural network (GABP) to diagnose the fault categories of subway auxiliary inverter. Firstly, this paper extracts feature vectors from the original fault signal by EEMD, then establishes...
Tool inventory has a large difference with the traditional static inventory since the tool can be reused by grinding. In this paper, according to the life characteristics of tool, the tool inventory cost model has been built by studying the using process of tool. The model takes all costs which includes the shortage cost in the product life cycle into account under the circumstances of demand uncertainty...
In order to achieve collaborative learning in network learning system, two primary questions must be solved. First is how to choose and quantify the proper features to build user model. Second is how to divide the users into optimal teams to play the best effectiveness of collaborative learning. Based on the collaborative learning theory, its practical research, and the conditions of network learning...
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