尤其是改进的神经网络分段预测模型具有网络结构简化、收敛速度快，泛化能力强的特点，取得很好的拟合精度和预测效果。
The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect.
可与根据一个历史人物的主观性的可能选择来计算违反度，最终的结果是出现一个分段函数，这也是一种预测。
And according to a historical figure of the subjective may choose to calculate violate degrees, the end result is the emergence of a separate function, this also is a kind of prediction.
对商业数据聚类分析，可以得到合理的市场分段，预测顾客的购买行为。
The reasonable market subsection and will be gotten and the purchasing behavior of customers will be forecasted in the business data analysis.
在分析铁路客票数据特征的基础上，提出采用分段模糊BP神经网络对铁路客运量进行数据挖掘预测。
The segment fuzzy BP Neural Network is adopted to predict the passenger traffic volume of railways in data mining based on analyzing the data feature of railway passenger tickets.
鉴于分段拟合技术在国内外数量预测技术中还很少见，本文利用现代统计分析软件SPSS13。
In view of the fact that the partition fitting technology is also very rare in the domestic and foreign quantity forecasting technology, this article USES modern statistical analysis software SPSS13.
论文以具有大范围工况特点的实际系统为背景，结合混合逻辑动态模型来研究分段线性系统的模型预测控制。
Through logic variables, piecewise linear systems can be modified into a single-linear model and affiliated constraints with mixed logical dynamic systems.
通过对研究区成矿有利区预测成果的级别划分，提出用结果分布统计图辅助分段的方法对结果值进行分段。
Through level division of the predict result which favorable for mineralize district in the studied areas . We put up a graduate method which is used to divide graduations of statistical result .
通过对研究区成矿有利区预测成果的级别划分，提出用结果分布统计图辅助分段的方法对结果值进行分段。
Through level division of the predict result which favorable for mineralize district in the studied areas . We put up a graduate method which is used to divide graduations of statistical result .
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