利用神经网络解决控制论的问题.很好地阐述了这一问题的解决方法....

一个基本遗传算法求函数最大值的程序，在Vc中运行结果很好，有详细的代码注释，可以做为模板使用。 sag_sag.c-a basic function of genetic algorithms for maximum procedures, the Vc running good results, a detailed source notes, can be used as a template. Sag_sag.c

svm工具箱的使用范例,很详细的范例，希望对大家有用-recognition use vsm toolbox

人工智能搜索法解决九宫重排问题（又称8数码问题）。-artificial intelligence search JiuGongTu rearrangement solve the problem (also known as the Digital 8).

java版的PrefixSpan算法实现，文件里包含了详细的文档说明，还有示例。-PrefixSpan algorithm. The document containing a detailed description and an example.

用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition

一个分词程序，c代码，有很详细的注释，便于阅读-A segmentation procedure, c code, have very detailed notes, easy-to-read

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,

应用径向基神经网络作预测的matlab程序-application RBFNN forecast for the Matlab procedures

基于神经网络的语音识别技术研究 基于神经网络的语音识别技术研究-Neural Network Based Speech Recognition Technology based on neural network speech recognition technology research

一个pso的演示程序,非常经典,对初学者来说是非常不错的学习资料!-A demo program PSO, very classic, for beginners is a very good learning materials!