From the method of predictive linear program based on the method GM (1, 1), we build the center approach grey GM (1, 1) model. Thus we improve the grey predictive linear program.
根据基于GM(1,1)模型的预测型线性规划思想方法，建立了中心逼近式GM(1,1)模型，从而给出对灰色预测型线性规划的改进。
Therefore, combining grey system with neural network, the grey neural network can make up the shortage of using single model to achieving excellent data processing and predictive validity.
故将灰色系统和神经网络有机融合，形成灰色神经网络模型，能弥补单一使用这两种模型时的不足，达到优良的数据处理和预测效果。
Simulation results show the superiority of the proposed method over the conventional fuzzy controller and the grey model predictive fuzzy controller with fix predictive step size.
通过仿真研究验证了该方法能明显地改善常规模糊控制和固定预测步长的灰色预测模糊控制效果。
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