本文已被：浏览 2141次 下载 3128次
Received:April 20, 2011 Revised:June 17, 2011
Received:April 20, 2011 Revised:June 17, 2011
中文摘要: 简要介绍了人工神经网络和模糊理论,分析了神经网络模糊控制的结构,设计出基于神经模糊算法的备件库选址模型,通过Matlab 仿真工具实现了备件库选址的科学预测。实验表明,神经模糊方法是备件库选址预测的一种创新应用,对军事领域的科学选址具有较强的泛化能力。
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.
文章编号： 中图分类号： 文献标志码：
基金项目:
引用文本：
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
LV Xue-Yi,SHI He-Ping,ZHANG Min.Prediction of the Spare Parts Storehouse Location Based on Neural Network and Fuzzy Theory.COMPUTER SYSTEMS APPLICATIONS,2011,20(12):228-231
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
LV Xue-Yi,SHI He-Ping,ZHANG Min.Prediction of the Spare Parts Storehouse Location Based on Neural Network and Fuzzy Theory.COMPUTER SYSTEMS APPLICATIONS,2011,20(12):228-231
