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- 灰色模型 可以用来预测一段时间变量的变化量-The Gray model can be used to predict the amount of change of the period of time variable
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- 灰色预测系统实验 模拟预测模糊事件matlab-The gray forecasting system experimental simulation and prediction of the fuzzy event matlab
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- 灰色预测模型 肯定可以用，自己已经试过了-The gray predictive models certainly can be used, that they have tried
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- 灰色按钮克星易语言版，可实现灰色按钮可操作-The gray button nemesis easy language version
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- 灰色预测程序 C++编写 一定可用 输入预测个数及源数据即可得到预测数据-The gray prediction program C++ write must available input the forecast number of source data to get the forecast data
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- 中心逼近式动态灰色模型源代码，可以预测滑坡等模型-Center approach dynamic gray model source code, can predict landslide model
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- 数学建模中常用的灰色预测程序，经整理，有注释-Commonly used mathematical modeling of gray prediction program, collated comment
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- 这是一个基于PHP开发的商城系统-zhe shi yi ge jiyuPHPkaifa de shangcheng
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- 漂亮的flash 网站片头动画 完整flash 源文件-Beautiful flash animation website picking complete flash source files
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- 数学建模中灰色预测，对于做一些指数型预测比较实用-Mathematical modeling prediction, forecast for doing some more practical index
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- 灰色预测，用于统计学方面，可以进行近段时间的预测，比较简单的程序-Grey, for statistical aspects that can be predicted Recently, a relatively simple procedure
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- 灰色按扭激活--可以将一些软件限制的灰色按扭激活使用,比如某些软件普通会员会限制一些功能,有这个就可以解开限制-Gray button activation- can be some of the limitations of the gray button to activate the software to use, such as some software will limit some features of ordinary members, have this limit can
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- matlab通用灰色理论预测算法,自行输入数据，指定预测数量-The general theory of grey prediction algorithm
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- 采用matlab编写的灰色预测代码，有gm11，versult，以及其改进形式-By using the grey prediction code, matlab prepared with gm11, versult, and its improved form
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- 根据灰色理论优化神经网络来预测交通事故的算法-Gray theory to predict based on neural network optimization algorithm accident
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- 数学建模灰色预测模型GM（1，1）的代码 自己建模时编写的-the code of GM(1,1) model
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- 运用粒子群算法优化灰色预测模型的源程序，直接读取数据运行-Particle swarm optimization using gray prediction model of the source, read data directly run
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- 灰色理论的matlab编程码，灰色理论的应用，相关代码以及事例的解释。-Grey Theory matlab programming code, application code, and relevant examples of interpretation gray theory.
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- 根据历史空闲时间长度应用回事模型对微传感节点即将到来的空闲时间长度进行准确的预测。-According to historical length of idle time application model' s going to the length of idle time micro sensor nodes upcoming accurate predictions.
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- 根据已知的数据来预测下一阶段的数据，可以预测多个数据。(Based on known data to predict the next phase of the data, you can predict a number of data.)