2009-acc-consensus

phsical mpdelling matlab

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  完整的蚁群算法，可以参考使用。。。。。。。。。。。。。。。(Ant colony algorithm)

本程序是关于预测函数的几个程序，包括阶跃输入以及在干扰情况下的系统影响，控制效果良好，自己可以其中的参数！(This procedure is about the predictive function of several procedures, including the step input, as well as the interference situation in the system under the impact of control works well, the parameters in which they can!)

设计一个可以输入若干评委分数的表单，可以通过两个for循环分别找出分数的最大值和最小值，存入到两个变量，把评委的分数存入到一个数组中，计算时去掉找出的最大值和最小值即可得出最后得分。 (You can enter a number of judges to design a fractional form, you can find the maximum and minimum scores for each through two loops, credited to two variables, the judges scores deposited into an array, remove the calculation to find out the maximum and minimum values ​ ​ to arrive at a final score.)

物体围绕一圆周运动，角加速度是白噪声，观测噪声是高斯白噪声。使用卡尔曼滤波器实现物体的跟踪(Follow the trace)

基音端点检测，可用于语音识别，语音识别，和语音编码中。(speech point detection)

harris角点检测 挺实用的 对毕设有用呀(harris corner detection has a very practical use of )

卡尔曼滤波入门程序，简单的跟踪目标，已经通过了测试了(Kalman filtering entry procedures, a simple target tracking)

Iris recognition using Support vector machine and Hamming distance