genetic-algo

采用核费舍尔鉴别准则做的静态背景的运动目标分类(Fisher discriminant make use of nuclear static background moving target classification)

永磁同步电机调速模型； matlab/simulink仿真； 此模型大致分成矢量控制、坐标变换、电机本体等模块，搭建难度适中； 希望能给大家带来帮助。

cl2多小波去噪的源程序，对学校多小波的人很有帮助。需要自己修改一下图片的路径。(Cl2 many of the source wavelet denoising, the School Multiwavelet helpful people. Needs its own path picture changed a bit.)

搭建完整的双馈风力发电系统，模拟网侧控制和转子侧控制，观察电压跌落情况下，双馈风力系统的变化(A complete doubly fed wind power generation system is developed to simulate the grid side control and the rotor side control, and to observe the change of DFIG wind system under voltage sag)

这是瑞士苏黎世理工四螺旋桨仿真程序，里面有速度环、位置环、姿态环的建模，适合四旋翼建模者的应用。

这个 pdf 文件中有很多有助于结构的学生和其他学生处理有限元问题的有限元问题的 matlab 代码。代码很好的题材，依次排列。

用谱减法实现语音的降噪，经典的谱减法完整源代码。(Of voice with spectral subtraction noise reduction, spectral subtraction classic full source code.)

城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经 网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.(For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim- ulation using the GA2WNN prediction model demonstrates the validity of the model .)

基于遗传算法(GA)多元旅行商问题(TSP),MTSPV_GA变量多旅行商问题(m TSP)遗传算法(GA)找到最佳解决方案(近)的一种变体m TSP(有一个可变数目的推销员)通过设置一个遗传算法来搜索最短路径(最小距离所需的推销员去每个城市到底一次,回到他们的起始位置)(Based on genetic algorithm (GA) multivariate traveling salesman problem (TSP), MTSPV_GA Variable Multiple Traveling Salesman Problem (M-TSP) Genetic Algorithm (GA) Finds a (near) optimal solution to a variation of the M-TSP (that has a variable number of salesmen) by setting up a GA to search for the shortest route (least distance needed for the salesmen to travel to each city exactly once and return to their starting locations))

“聚类分析”使用c语言编写，在MATLAB数学工具中，对数据先进行类别划分，然后将目标进行对号入座。压缩文件中有使用说明，可以自行选择模式功能。(Using c language, in MATLAB mathematical tool, identify the data clustering analysis, compressed file with instructions, you can choose the mode function.)