BP分类器，用与识别不同模式。

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.

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.

简单一元函数优化实例，利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum

3个径向基网络的matlab源程序[matlab],一维输入，一维输出，逼近效果很好！-three RBF network Matlab source [Matlab], one-dimensional input and one-dimensional output. Approximation good effect!

自编VC++遗传算法.改进后可应用其它方面.值得看看.-Self VC++ Genetic algorithm. Improved other aspects can be applied. Deserves to see.

利用人工智能原理中BP神经网络算法，建立的彩票预测程序，当然不可能都预测中，但是要学习神经网络的人值得一看-BP neural network algorithm, the establishment of the lottery forecasting process, of course, not all forecasts, but neural networks to study the eye-catcher

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

一个完整BP神经网络源代码，包括数据和说明文档,很有用的。-A complete BP neural network source code, including data and documentation, very useful.

本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.

Neural Networks ，8种神经网络，BP，RBF，CPN等通过VC++来实现了！-Neural Networks, 8 Neuro network, BP, RBF, CPN, such as through VC++ To achieve!