Machine Learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。...

这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.

基于遗传算法的多移动机器人协调路径规划，这是国内的专家篆写的文章。我觉得写得不错，推荐给大家看看。-based on genetic algorithms more mobile robot path planning coordination, which is the domestic experts Fragrance write articles. I think well-written and recommend it to see.

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.-particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.

machine pulse control

kmeans分类的小程序，聚类算法，大家都来看看吧，-kmeans classification of small procedures, clustering algorithm, as we all look at and see,

演化程序――遗传算法和数据编码的结合 具体介绍了遗传算法的应用-evolutionary process-- genetic algorithms and data encoding the specific combination of the application of genetic algorithms

遗传算法在工程优化计算上的应用的MATLAB程序。-genetic algorithm optimization calculation of the MATLAB program.

基于小波神经网络算法的流域日径流预报模型，该例程为结合型小波神经网络的例子-based on wavelet neural network algorithm watershed day runoff forecasting model, the combination of routines for wavelet neural network examples

网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry samples such as 1,0,0,0,0,1, the output of a network, the output is 0.

单神经元pid源码实现，对初学的朋友很有帮助-The program can realize single neural pid with MATLAB.The algorithm is simple and easy to understand.