《神经网络模式识别及其实现》源程序 几个VC编写的神经网络示例...

The code on this diskette has been organized by chapter. Each subdirectory containing listing has a readme.txt describing program usage and any relevent file formats. The readme will also describe how to compile the target programs under IBM OS/2 (TM) using the using C Set++ compiler (TM). All programs on this diskette have been compiled and tested in this environment. The majority of programs on this diskette should port to other environments with only minor adjustments. The exception to this are those programs which utilize presentation manager for graphical display of program data. In particular, the grid1 programs in chapt4ackprop and chapt3 fall into this latter category.

Matlab神经网络工具箱应用简介 神经网络已经在各个领域中应用，以实现各种复杂的功能。这些领域包括：模式识别、 鉴定、分类、语音、翻译和控制系统。 如今神经网络能够用来解决常规计算机和人难以解决的问题。我们主要通过这个工具箱 来建立示范的神经网络系统，并应用到工程、金融和其他实际项目中去。-Matlab neural network toolbox application profile neural network has been applied in various fields in order to achieve a variety of complex functions. These areas include: pattern recognition, identification, classification, voice, translation and control systems. Today neural networks can be used to conventional computers and people to solve difficult problems. We mainly through the toolbox to create a model of neural network systems, and applied to the engineering, financial and other practical projects.

greedy em 混和模型训练算法-greedy em hybrid model training algorithm

遗传算法的原代码，用于最优化计算，只需解压便可使用。-Genetic algorithm source code for the optimization calculation, just unzip to use.

最大概率分词法,这种分词算法能够较好的解决汉语分词中的歧义问题,但分词效率比最大匹配分词算法要低-greatest probability points accidence, Segmentation algorithm can be used to solve the Chinese word segmentation of Ambiguity, but Word efficient than the largest matching segmentation algorithm lower

一个非常好的，用于训练样本图像的代码。 一定可以运行。-A very good image for the training sample code. Will be able to run.

根据人工鱼群算法的基本原理，求解一个函数值的最优解；-According to the basic principles of artificial fish-swarm algorithm, solving a function value of the optimal solution

ICA经典文章,入门必看。受益，高阶矩统计牲在信号处理中的应用，详细介绍许多重要概念。-ICA classic article, the entry Watchable. Benefit Higher Moments statistical offerings in signal processing applications, detailed many important concepts.

基于改进SVM的特征选择，可以帮助大家认识SVM-To improve the SVM-based feature selection can help you understand the SVM

利用C++语言实现的对运动手势进行识别的代码，请指教！-use C language to the movement of gestures identification code, please advise!