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灰色算法

于 2020-06-16 发布文件大小:6249KB

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灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

文件列表：

灰色算法\funcoef.m, 438 , 2017-02-08
灰色算法\funesm1.m, 483 , 2017-02-08
灰色算法\funesm2.m, 997 , 2017-02-08
灰色算法\funesm3.m, 1295 , 2017-02-08
灰色算法\fungry1.m, 1526 , 2017-02-08
灰色算法\~$色系统预测 .doc, 162 , 2019-08-17
灰色算法\灰色理论与方法——提要·题解·程序·应用.pdf, 7480040 , 2017-02-08
灰色算法\灰色预测.ppt, 222208 , 2017-02-08
灰色算法, 0 , 2019-08-17
灰色算法\灰色系统预测 .doc, 487936 , 2017-02-08

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1
说明：在MATLAB中表示信号的常规格式是向量或者矩阵。本示例中利用randint 函数来产生一个表示二进制数据序列连续值的列向量。其中二进制数据序列的长度（即为列向量中的行数）设置为30,000。下面的代码同时还绘制了数据序列的杆图（stem plot），用来显示数据的0、1值。你所产生的图可能与次示例中的图有一点不一样，这是因为本示例中应用了随机数。 (Said signal in MATLAB conventional format is a vector or matrix. In this example use randint function to generate a column vector of a sequence of binary data, said successive values. Wherein the length of the binary data sequence (i.e., the number of rows in the column vector) is set to 30,000. The following code sequence of data is also plotted in Fig rod (stem plot), the value 0 is used to display the data. You may have generated the second example of FIG FIG little different, this is because the present example, the application of the random number.)

2014-09-21 08:27:58下载

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