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GM(1_1)
GM(1,1)模型1-4
1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。
2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。
3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。
4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。
gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。
gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。
gm3比gm1模拟精度要高。
可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。
所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)
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GA-for-flow-shop
GA for flow shop,include GA and SMGA,need ga toolbox(GA and SMGA)
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EEMD-for-fault-diagnosis
EEMD 方法用于机械故障诊断的程序，希望对学习这方面的同学和研究人员有所帮助！(EEMD method for mechanical fault diagnosis procedures in the hope of learning the students and researchers in this area to help!)
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PandO_2
code for mppt perturb and observe algorithm
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Watermarking
It consists of 2 images input and watermark image.The aim of the program is th hide watermark image within input image.The last 4 digits of the input image are replaced by first 4 bits of the input image.The output image appears like input image but watermark image will be embedded inside.
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gray-image
MATLAB function which creates a black and white version of a grayscale image by specifying a single threshold value pixels below this value become black, and above this value they are white.
Usage:
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BNM
The source code is the best neighboring matching method, which will find out a best 16x16 macro block to conceal the lost macor block. this code is written by Matlab.
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matlab_gui
matlab gui
简明教程
快速了解gui(matlab gui )
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chapter7
多种群遗传算法的函数优化算法Matlab程序实现(Multi-population genetic algorithm for function optimization algorithm Matlab program)
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muiqan
插值与拟合的matlab实现，该函数用来计算任意函数的一阶偏导数(数值方法),是路径规划的实用方法。( Interpolation and fitting matlab implementation, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Is a practical method of path planning.)
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