chepaishibie

说明：  BP神经网络异或问题 使用说明：打开文件夹中的BP.m文件，在matlab中运行此m文件，即可在command window中得出结果。压缩包内附说明文件 (XOR problem of the BP neural network for use: Open the folder in BP.m file, run this m file in matlab to the outcome of the command window. Compression package containing the documentation)

This book is concerned with fundamentals of robotics, including kinematics, dynamics, motion planning, computer vision, and control.

rbf RBF网络用于建模 ，过程很适合初学者懂的。很详细，很容易的！(RBF RBF network used for modeling, process is suitable for beginners understand. Very detailed, easy! )

Annotation for "virtual" implementation classes. These are classes that have the following attributes:.

信赖域法的MATLAB程序，包括2个子程序，性能超强！(the matlab program of Trust region, good!)

利用离散余弦变换DCT和小波变换DWT实现对图片的变化域压缩并进行仿真以及性能分析(Using the discrete cosine transform DCT and wavelet transform DWT realization of the picture changes and simulated field compression and performance analysis)

说明：  决策树分类程序，包含使用的数据集和运行结果(Decision tree classifier, including data sets used and running results)

基于数字信号处理器(DSP)的异步电机直接转矩控制研究(DTC)

PGM-Programming_Assignment_2,概率图模型的网络公开课的第二次作业的代码matlab版本(Code matlab version PGM-Programming_Assignment_2, open class of probabilistic graphical network model' s second job)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )