Prediction of the Spare Parts Storehouse Location Based on Neural Network and Fuzzy Theory
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    Abstract:

    This paper briefly introduces the artificial neural network and fuzzy theory, analyses the structure of neural network fuzzy control. And it also designs a model of spare parts storehouse location based on the neural fuzzy algorithm. Through the simulation of Matlab tool, it realizes the scientific predictions of the spare parts storehouse location. In the experiment, it is shown that the neural fuzzy method is an innovative application of a prediction for the spare parts storehouse location, which enjoys an excellent capacity of generalization of scientific location in the military area.

    Reference
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吕学义,时和平,张敏.基于神经网络与模糊理论的备件库选址预测.计算机系统应用,2011,20(12):228-231

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History
  • Received:April 20,2011
  • Revised:June 17,2011
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