基本遗传学习分类系统算法，算法结构非常严谨，是不可多得的遗传算法！...

这是一个nsga的应用问题。算法可能不是最优的。-application of nsga

基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared

神经网络仿真的基本程序- Nerve network simulation main routine

基于C语言人工免疫源程序,包括二进制编码的简单遗传算法源程序，二进制编码的简单克隆选择算法源程序-Artificial Immune-based C language source code, including a simple binary-coded genetic algorithm source code, binary-coded clonal selection algorithm simple source

用VC++实现的BP（反向传播负反馈）神经网络算法-with VC BP (BP negative feedback) neural network algorithm

基于BP算法的贝叶斯网络参数学习， 实现了图形话的节点表示和样本生成， 图形话的结果分析-BP algorithm based on Bayesian network parameter learning, the achievement of the graphics, then the node express and sample generation, if the results of graphical analysis

遗传算法演示程序-GA Demonstration Program

神经网络拟合，试用，本人用于药品浓度拟合之用-neural network fitting trial, I used drugs used concentration Fitting

程序可以实现三维目标的跟踪监控，利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm

实现增量SVM算法，通过对因子的选择增量式的来训练SVM，大大加快了SVM算法的训练速度-To achieve incremental SVM algorithm, through the choice of factors Incremental to train SVM, greatly accelerated the speed of SVM training algorithm. .