chap1

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)

基于SVR的线性系统逆模型辨识建模及校验的仿真程序，由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同。(Linear inverse model identification modeling and verification system simulation program based on SVR identification signal are random signal, not the value of the fixed signal, so the program each time you run the results are likely to differ.)

介绍相关matlab的用法，很重要额。呵呵(show matlab use matlab and help you t)

最小错误率贝叶斯决策 模式识别 贝叶斯分类器设计(Minimum error rate Bayesian decision pattern recognition Bayesian classifier design)

power_switching.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_switching.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

这个是KPCA的matlab工具包，台湾的一个大学开发，能够实现KPCA的基本功能(This is a matlab toolkit KPCA, Taiwan, a university development, to achieve the basic functions of KPCA)

使用傅里叶变换实现希尔伯特变换C程序，包括傅里叶变换在内dft(dft hibert)

曲线拟合资料，自己学习过程中积累的一些文档，包含多种数据拟合方法。(Curve fitting data, some of the documents accumulated in their own learning process, contains a variety of data fitting methods.)

范数优化迭代学习代码，可以运行，效果非常好(norm-optimal iterative learning control)

由matlab解决多旅行商问题，并且包括矩阵计算等功能(From matlab to solve multi-traveling salesman problem, and includes features such as matrix calculation)