这是一个遗传算法中所目标优化的问题，请大家借鉴，

神经网络的源程序，一个比较新的算法，分类效果较好！-neural network source, a relatively new algorithm, better classification results!

关于apriori算法的一个小程序，用于数据挖掘关联规则，呵呵．-apriori algorithm on a small procedures for data mining association rules, Ha ha.

贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion

演化计算是基于随即搜索的新算法；它的技术模型源于自然的演化。下面是一个例子，该函数是典型的多峰（震动剧烈）的函数。用的算法是郭涛算法。-evolutionary computation is based on the then new search algorithm; It stems from the technical model of the natural evolution. Below is an example of this function is a typical multi-feng (severe shock) function. The algorithm is Guo Tao algorithm.

遗传算法初始化网络权值及其阈值参数 提高控制性能-Genetic algorithm to initialize the network weights and threshold parameters improve control performance

遗传算法 多目标的优化 是用GAOTV包做的-GA multi-objective optimization is done with the package GAOTV

hmm算法 包括前后向算法、viterbi算法、bw算法等另外包括内存申请等源代码-algorithm to include before and after algorithm, Viterbi algorithm, bw algorithm other memory applications including source code

多重网格法在step形状区域上的实现,三种不同光滑步可以实现.-Multi-Grid Method in the step shape of the region on the realization of three different smoothing step can be achieved.

一个DoS下的神经网络程序.-the neural network programming.

MILK 提供了一个实现和比较multi-instance学习算法的环境，基于weka机器学习系统（本站可以下载）-MILK provides a comparison and achieve multi-instance learning algorithm, based on machine learning system weka (site can be downloaded)