本程序为基于工艺参数优化的改进遗传算法程序

PID algorithm simulation program, including rk 四阶算法。-PID algorithm simulation program, including four bands rk algorithm.

本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。 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。 支持反向传播算法(BP),LBG聚类法和径向基网络(RBF) -This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF)

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。-This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.

清华大学不确定规划教材中的模糊模拟算法1-Tsinghua University, teaching in the planning uncertainty simulation algorithm fuzzy one

使用anfists的sugeno-type对混沌时间序列预测。-the use anfists Sugeno-type of chaotic time series prediction.

大牛的神经网络支持向量机代码, 强烈推荐,实在太多，没办法,第三部分-The good program of SVM,Strong recommendation ,too long,no way,part three.

基于倒谱特征的带噪语音端点检测.rar格式为ｖｉｐ-based Cepstral Noisy voice endpoint detection. Rar format vip

用的是倒谱,加神经网络~不过没有成功,稳定性很差-using the cepstrum, neural network to increase but not a success, poor stability

该程序实现了简单的模糊ARTMAP神经网络算法。SFAM是神经网络分类器，它是简单和快速的模糊ARTMAP版本。-The program implements a simple fuzzy ARTMAP neural network algorithm. SFAM is a neural network classifier, which is simple and fast version of fuzzy ARTMAP.

基于VC++的小波提升程序，包含小波提升的详细算法。对初学者有很大帮助-Based on VC++ The Wavelet Lifting procedures, including detailed algorithm Wavelet Lifting. Have a great help for beginners