In view of the random time sequence s strong uncertainty and the misalignment characteristic, GMDH neural network forecast model was established by combining rough set and group data handling.
针对随机时间序列的强不确定性和非线性特征,结合粗糙集理论和成组数据处理的神经网络技术建立了基于粗集的GMDH神经网络预测模型。
A high precise regression model of rubber formulation was built with the uniform design and GMDH (group method of data handling) method.
通过均匀设计安排橡胶配方试验，进而用数据处理组合方法（ＧＭＤＨ）建立高精度的回归模型。
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