语音信号处理工具包,里面提供了很多有用的操作。这是最新版本...

web流数据聚类挖掘的研究和应用。流数据作为一种特殊的可挖掘的数据类型，特别是基于网络技术迅速发展的今天，其彰显出的重要地位决定了它的挖掘技术需要被认真考虑，而如何在流数据中进行有效的聚类分析，是一个吸引研究者很大注意力的问题。-Clustering web streaming data mining research and applications. Flow data as a special type of data that can be excavated, in particular the rapid development of Web-based technology today, it underlines the important status of the decision of its mining technology need to be seriously considered, and how to stream data effectively together type of analysis, is a great to attract the attention of researchers question.

利用SOM（Self-Organization Map）数据聚类方法，包含点数据集的坐标，并以TChart分组为例进行说明。

针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence.

NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary

利用C＋＋语言开发的BP算法，并将其封装在类中，用户可以自己设定参数，实现对BP网络的训练。-use C++ language BP algorithm, which is encapsulated in class, users can set their own parameters to achieve BP network training.

基于Fisher准则线性分类器设计，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-Based on Fisher linear classifier design guidelines, understanding the criteria Fisher method to determine the best linear method of the principle of the interface, as well as solving Lagrande multiplier principle.

介绍了在LabView环境下的神经网络算法-Introduced in the LabView environment, the neural network algorithm

神经网络设计书籍配套源码（matlab平台）-neural network design books matching source (Matlab platforms)

前馈神经网络算法-feed forward neural network algorithm

hide markov model(HMM) for matlab including initiate,train,and test three parts -hide markov model (HMM) for Matlab includi Vi initiate, train, and test three parts