fitting-of-a-polynomial

matlab下神经网络工具箱的开发和应用 很有参考价值(matlab neural network toolbox of the development and application of valuable)

说明：  图像分割是一种重要的和关键的图像分析技术，其目的是把图像分成各具特性的区域并提取出感兴趣的部分，图像分割的结果是图像特征提取和识别等图像理解的基础。对它的研究一直是图像技术研究中的热点和焦点，提出了数以千计的不同算法，虽然这些算法大都在不同程度上取得了一定的成功，但是图像分割问题还远远没有解决，这方面的研究仍然面临很多挑战。(Image segmentation is an important and critical image analysis, the purpose is to image into regions with different characteristics and extract the interesting part, the result of image segmentation is the image feature extraction and recognition based on image understanding. Study it has been a hot spot imaging technology research and focus, made thousands of different algorithms, although most of these methods to varying degrees, achieved some success, but the image segmentation problem is far from resolved, it of research still faces many challenges.)

在matlab中实现对矩阵数组的灰色预测，预测出后三年的数据(In matlab to achieve an array of matrix grey prediction, predict three years after data )

说明：  本压缩文件包含了用MATLAB做的几种fir滤波器，功能强大，可用性强！(This compressed file contains the use of MATLAB to do some fir filter, powerful, and the availability of strong!)

《智能控制》第一版（刘金琨著）第二章程序源码(" Intelligent control" the first edition (Liu Jinkun a) Chapter II program source code)

雷达信号的模糊函数Matlab代码，包括线性调频信号，线性调频脉冲串信号，以及作为对照的单频信号。通过比较分析可以得到不同信号的模糊函数表现出的不同特征。(Radar chirp signal ambiguity function Matlab code, including linear FM signal, the chirp pulse train signal, as well as the control of the single-frequency signal.)

非线性对象的线性化，cstr模型的建立，利用非线性求解方法实现其线性化(nonlinear translate to linear，model of cstr)

MATLAB提供了各种曲线拟合方法，例如：Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等，当然，也可以使用 Custom Equations. cftool不仅可以绘制拟合后的曲线、给出拟合参数，还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据，非常好用。但是如果我们已经确定了拟合的方法，只需要对数据进行计算，那么这种GUI的操作方式就不太适合了，比如在m文件中就不方便直接调用cftool。 (matlab has given a lot of method for curve combine ,we will give a new method and provide a matlab code.)

the very good man is you for anyone who descriminate this

brain stroke area will be detected by this program ,it will undergoes curvlet diagnosis ,the kmeans segmentation .the segmented image will go for feature extraction