资源列表
Image-Video-Matting
- 图像和视频流的matting算法综述，写于2007年，有很好的参考价值-image and video matting a survey 2007
Cluster_flag
- 先随机找寻一个合理的初始划分，然后试探将样本从一个群搬到另一个群，如果某次搬动能使准则函数值得到改进的话，则继续搬运，否则废除本次搬运，再继续其他搬运。-Randomly and find a reasonable initial division, and then test the sample from a group of moving to another group, if a move can make the criterion function is worth to impr
jsgas
- 遗传算法车间调度,车间作业调度问题遗传算法,各工件各工序的结束时刻，可根据它绘出甘特图,各代群体平均适应值的记录.-The genetic algorithm shop scheduling, job shop scheduling problems with genetic algorithms, each moment of the end of the process of the workpiece, it plotted the Gantt chart, the average fit
122
- 用遗传算法求函数的最大值MATLAB程序-Genetic algorithms function maximum MATLAB program
BP_sinx
- BP神经网络分别实现sinx、|sinx|、sin(a)sin(b)/ab 程序源代码，采用matlab编写-BP neural network to achieve sinx,| sinx | ,sin (a) sin (b)/ab program source code, using matlab prepared
RLS
- 仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 -he simulation object is as follows: among them, v (k) to obe
Levy
- levy法编制辨识程序，基本精确辨识了系统各个参数，因为误差准则的原因，系数略有差别。-Levy method prepare identification procedure, basic accurate identification of each parameter of the system, because the cause of the error criterion, a slightly different coefficient.
GA_ToolBox.rar
- 下载的matlab神经网络工具包，欢迎大家下载。,Download matlab neural network kit, welcome to download.
finalWork
- 用WEKA实现手写体数字识别，这是自己编写的，如果有错误请多多包涵-WEKA achieve handwritten digit recognition, which I have written, if there is an error, please forgive me
RCLS
- 在最小二乘参数估计值的基础上，引进补偿项σW2C-1D Ø 0，则获得了参数的无偏估计。针对模型噪声来说，RCLS算法的适应能力比RLS更好。-In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. Accordi
multiobjects
- 多目标进化算法源代码，多目标优化问题不错的参考-Multi-objective evolutionary algorithm source code, multi-objective optimization problem good reference
twodimapproximationbp
- 单输出函数Y=SIN(X)逼近问题的bp程序:假设网络结构为3--2--1，输入维数M,共N个样本,一般输入不算层，输出算层- 激活函数: hardlim---(0,1),hardlims---（-1,1),purelin,logsig---(0,1),tansig----(-1,1) softmax,poslin,radbas,satlin,satlins,tribas 训练算法: 1.traingd,traingdm,traingda(variable l