西安交大出版的王小平的遗传算法的书一个简单遗传算法例子 ....

神经网络中自组织特征映射模型算法的源程序，属于无导师学习！-Neural network model self-organizing feature map algorithm source, belonging to no mentor to learn!

一个大家都在寻找的em算法，matlab实现-one we are looking for the em algorithm, achieving Matlab

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.

一个求函数极值的遗传算法程序-function for a maximum of Genetic Algorithm

遗传算法,实现的是一个猜答案的过程， 这种算法比较经典，可以借鉴-genetic algorithm to achieve guess the answer is a process, this method is classic, we can draw on

一款改进了的查询系统----北京公交车查询系统-new improved system for the Beijing-Bus Inquiry System

pre-fixSpan算法，该算法是C++语言实现的，主要用模板实现prefixspan的投影数据库架构及模式生长功能

对文件实现用DES加密算法-right documentation can be achieved using DES encryption algorithm

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

基于神经网络的辨识工具箱 (527KB)-Neural Network Based Identification Toolbox (527KB)