本书介绍了一些关于机器人的识别技术，值得学习和借鉴，作为基础资料不错...

用局部最优探索算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using local optimization algorithm to explore the issue tsp. . . matlab prepared. Coordinate with the city for inspection.

基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation

一个改进的聚类算法FCMA,可以实现数据的自适应有效聚类,对2维数据测试效果较好- An improvement gathers kind of algorithm FCMA, may auto-adapted realize the data effectively to gather the kind, is better to 2 dimensions according to the test effect

WEKA 3-5-5 Explorer 用户指南 原中文版-Explorer how to use weka 2-5-5

基于人工神经网络求解TSP问题的论文,很不错.-Based on artificial neural network to solve TSP problem papers, is pretty good.

给出了FIR滤波器设计的C语言程序，可以根据设计要求，灵活地调整参数，得到需要的滤波器参数。-given FIR filter design in C language program, according to the design requirements, flexibility to adjust parameters and the filter parameters.

遗传算法和神经网络结合，利用两种算法的优点，有很好的参考价值-Genetic algorithms and neural networks combine the advantages of using two algorithms, a very good reference value

使用具有增量学习的监控式学习方法。包括几个不同的分类算法。-use with incremental learning supervised learning method. Including several different classification algorithm.

改进的遗传算法，有兴趣的可以下-Improved genetic algorithms, are interested in can be done next

用java编写的bp网络和rbf网络的源程序 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages can be. java applet demo version of a more simple to just any machine on the View All can be run without having to install any additional software major. Lovers more convenient remote access through the internet resources.