针对灰色建模的最少数据问题，提出了3+1建模思想，证明只需三个测量点数据就可建立灰色模型。
To the least data modeling of GM, this paper presents an idea of"3+1"to build the grey model and demonstrates the validity of it.
在用遗传方法对灰色理论建模数据进行全局优化的基础上，建立了预测冻结法施工中外层井壁承受冻结压力发展趋势的智能灰色理论模型。
On the basis of the global optimization of data which is used to build up mold, the artificial intelligent grey theory mold was established to forecast the freeze pressure development trend.
研究了灰色系统理论与神经网络组合的灰色神经网络GNNM（1，1）模型的建模思想、网络结构及其优化GNNM（1，1）模型的方法和学习算法；
Study modelling thought, network configuration, majorize GNNM(1,1) mode method and learning algorithm of GNNM(1,1) mode combined grey system theory and neural network.
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