NNNN

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

课程设计做的车牌识别，运行licence_recognise.m选择实例图片，按空格单步，直到最后识别(Curriculum design license plate recognition, run licence_recognise.m select instances pictures, press the space single step, until the final identification)

matlab 实现红绿黄交通信号灯的识别检测，很容易理解，很适合新手学习(Recognition and detection of Matlab implementation of green and yellow traffic signal light, easy to understand, very suitable for beginners to learn)

subtractive clustering

its for a wsn project

MATLAB通信仿真及应用实例详解好的一本书，里面有实例和M文件代码。(MATLAB simulation and communication application example explanation good book, there are examples and M file code.)

脑电地形图，用于脑电信号的表示方法；尤其是借助脑图像描述脑电信号的变化(Electroencephalogram)

射线追踪，比较基本的源代码，根据自己的需要调整后使用(Ray tracing,the basic source code, adjusted it before use according to your needs )

能够实现几种经典的分类算法（ID3，C4.5等）(It can inmplement several classic classification algrorithm(ID3，C4.5,etc.))

hao this file direction