An improved GMDH-type neural network and its application to predicting chaotic time series are proposed.
这种用改进了的自组织方法所构成的GMDH型神经网络可以应用于混沌时间序列预测。
The cross research on GMDH theory and regression is rarely reported, either the evaluation of model quality on GMDH algorithms.
目前关于GMDH理论与回归分析之间的交叉研究还很少，关于GMDH算法对模型质量的评价工作也并不多见。
The results are showed that the method is simple, results are satisfactory and GMDH can be used to calculate the rock drillability.
通过试算表明，该方法运算简便，结果可靠，可用于计算岩石可钻性。
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。
The model-GMDH is determined finally to be a powerful and effective model which is suited to the change of Chengdu s residents water consumption.
研究结果表明，自组织方法（GMDH）是强有力的建模方法，是一种有效的预测手段。
The result shows that combined forecasting model based on GMDH extracted the characteristics of data abundantly and displayed its unique superiority.
实证结果表明，基于GMDH的组合预测模型充分的挖掘了数据中的特点，显示了其独特的优越性。
On the base of a brief introduction of GMDH algorithm, this paper discusses the problems of the forecast of stock market based on the self-organizing algorithm.
在简要地介绍GMDH算法的基础上，讨论了基于自组织算法的股市预测问题。
Computer simulation shows that the improved GMDH algorithm is more reliable and flexible than the original algorithm, and demands much less calculation and computer memory.
计算机仿真表明，改进的GMDH算法较原算法有更高的可靠性和灵活性，并可减少计算量和计算机内存容量。
Simulation result shows that GMDH method can be applied to nonlinear system modeling successfully and has such advantages as higher prediction precision and good calculation stability, etc.
仿真结果表明，用GMDH方法建立非线性系统模型，具有预测精度高、计算稳定性好等优点。
Make use of GMDH s ability which chooses the superior complications model automatically in the data; we develop an analytical model that analyzes the influence factors of the enterprises net profit.
利用GMDH从数据中自动选择最优复杂度模型的能力，构造了一个分析企业净利润影响因素的分析模型。
Make use of GMDH s ability which chooses the superior complications model automatically in the data; we develop an analytical model that analyzes the influence factors of the enterprises net profit.
利用GMDH从数据中自动选择最优复杂度模型的能力，构造了一个分析企业净利润影响因素的分析模型。
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