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Research on Optimization and Debugging Simulation Model of Logistics Center Based on Neural Network

机译:基于神经网络的物流中心优化调试模拟模型研究

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An important aspect of simulation modeling of the logistics center is the optimization and debugging. Usually it takes lengthy time to debug the logistics center simulation model by the traditional method. This paper presented a new method to debug simulation model. Through analyzing the data streams of the simulation model, the dominant sets of model parameters were identified to modify the model. The results show that this method can enhance the debug efficiency of model simulation.
机译:物流中心仿真建模的一个重要方面是优化和调试。 通常需要漫长的时间通过传统方法调试物流中心仿真模型。 本文提出了一种调试仿真模型的新方法。 通过分析模拟模型的数据流,识别了模型参数的主导参数以修改模型。 结果表明,该方法可以提高模型仿真的调试效率。

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