资源列表
Classification_SVM_SteveGunn.r
- SVM的分类算法。使用时需按照要处理数据特点选定参数。,SVM classification algorithm. Want to use when processing data in accordance with the characteristics of the selected parameters.
1000s--Factorial
- 输入不超过1000的正整数，输出n!=1X2X3....Xn的精确结果 1000!大约等于4*10^2567，因此可以用一个3000个元素的数组f保存，为了方便我们从低位起保存位数据，再倒序输出，即f[0]保存个位，其他类推 每次只需要模拟手算即可完成n!，输出时要忽略前导0-Enter a positive integer less than 1000, Output n! = 1X2X3 .... Xn accurate results 1000! Approximately equ
ec11c710d2eb
- TSP问题的遗传算法解决代码,输入是城市的坐标，输出为最优路径-the solving way to TSP use GA,this can give tou a clear view of the best way of the trivalling
BPbijin
- 自己写的BP网络逼近非线性函数的matlab的m文件，没有调用matlab现成的函数-Write your own BP neural network nonlinear function approximation matlab m-file, there is no ready-made call matlab function
recepton
- 采用单神经元结构感知器对两类样本进行分类-A single neuron structure Perceptron classify two types of samples
Matlab，bp神经网路
- 详细的BP神经网络工具包调用，Matlab实现，注释详细，运行无误。
CMACnonlinear
- 基于CMAC网络逼近非线性对象的程序，可以参考！希望能对大家有所帮助-based CMAC nonlinear approximation the procedure, we can make reference! The hope is to help everyone
gazenew
- 基于GRNN神经网络的视线跟踪源程序。 其中网络的输入分别是瞳孔中心，半径，瞳孔中心与普洱青斑向量。-GRNN neural network-based tracking source line of sight. Network input, respectively, which is the pupil center, radius, the pupil center and Pu
RBF
- 人工神经网络 模式识别 对信号进行分类识别 0 1 识别-Artificial neural network pattern recognition to classify the signal recognition 01
BP_MATLAB
- BP人工神经网络的用MATLAB编程逐步实现，可以用作修改融合其他程序-BP artificial neural network with the progressive realization of MATLAB programming, can be used to modify other programs integration
LAB-3
- matalab program of neural network
gnnm
- 灰色神经网络用于预测氧化还原电位，有一定的数据-Grey neural network on the use of predict the oxidation reduction potential，with some data