adaboostmethod

motion estimation sestss

采用SVM设计男女生分类器。采用的特征包含身高、体重、是否喜欢数学、是否喜欢文学、是否喜欢运动共五个特征。要求：采用平台提供的软件包进行分类器的设计以及测试，尝试不同的核函数设计分类器，采用交叉验证的方式实现对于性能指标的评判（包含SE,SP,ACC和AUC，AUC的计算基于平台的软件包）。(Using SVM classifier is designed for boys and girls. Characterized by the use of include height, weight, whether you like math, whether like literature, whether you like sports a total of five feature. Requirements: The software package provided by the platform classifier design and testing, try different design kernel classifiers, using cross validation manner for performance uation (including SE, SP, ACC and AUC, AUC calculated based on platform software package).)

显示时间 全球同步(show that the global synchronization)

说明：  巴特沃思滤波器matlab程序，是本人提交的作业．(Butterworth filter Matlab process, I submit work.)

Xu ly anh - dai hoc bach khoa ha noi

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

AN IMPORTANT class of theoretical and practical problems in communication and control is of a statistical nature.

Dan Simon, Training radial basis neural networks with the extended Kalman Filter, 2001. Article on RBF neural networks, with examples, source programs on Matlab

这是一个Matlab源码，用于计算直井稳定产能(Steady productivity of vertical wells)

说明：  小波阈值去噪的软硬阈值去噪算法，里面包含了软硬阈值不同的去噪效果，大家一起学习哈(Hard and soft wavelet threshold denoising threshold denoising algorithm, which includes hard and soft threshold denoising different effects, we will study together and Kazakhstan)